{"361381":{"#nid":"361381","#data":{"type":"event","title":"IRIM Robotics Seminar\u2013Mac Schwager","body":[{"value":"\u003Cp\u003EBoston University\u2019s Mac Schwager\u0026nbsp;presents\u0026nbsp;\u201cMulti-Robot Systems for Monitoring and Controlling Large Scale Environments\u201d\u003Cstrong\u003E\u0026nbsp;\u003C\/strong\u003Eas part of the IRIM Robotics Seminar Series.\u0026nbsp;The event will be held in the\u0026nbsp;TSRB Banquet Hall from 12-1 p.m. and is open to the public.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EGroups of aerial, ground, and sea robots working collaboratively have the potential to transform the way we sense and interact with our environment at large scales. They can serve as eyes-in-the-sky for environmental scientists, farmers, and law enforcement agencies, providing critical, real-time information about dynamic environments and cityscapes. They can even help us to control large-scale environmental processes, autonomously cleaning up oil spills, tending to the needs of crop lands, and fighting forest fires, while humans stay at a safe distance. This talk will present an overview of research toward the realization of this vision, giving special attention to recent work on distributed optimization-based control algorithms for groups of aerial robots to monitor large-scale environments. I will describe a general optimization-based control design methodology for synthesizing practical, distributed robot controllers with provable stability and convergence properties. I will also describe low-level control techniques based on differential flatness to coordinate the motion of teams of multirotor helicopters in an agile and computationally efficient manner. Experimental studies with groups of multirotor robots flying both outdoors and indoors using these controllers will also be discussed.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EMac Schwager is an assistant professor in the Department of Mechanical\u0026nbsp;Engineering and the Division of Systems Engineering at Boston\u0026nbsp;University. He obtained his BS degree in 2000 from Stanford\u0026nbsp;University, his MS degree from MIT in 2005, and his PhD degree from\u0026nbsp;MIT in 2009. He was a postdoctoral researcher working jointly in the\u0026nbsp;GRASP lab at the University of Pennsylvania and CSAIL at MIT from 2010\u0026nbsp;to 2012. Schwager\u0027s\u0026nbsp;research interests are in distributed algorithms for\u0026nbsp;control, perception, and learning in groups of robots and animals. He\u0026nbsp;received the NSF CAREER award in 2014.\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp class=\u0022p1\u0022\u003EBoston University\u2019s Mac Schwager\u0026nbsp;presents\u0026nbsp;\u201cMulti-Robot Systems for Monitoring and Controlling Large Scale Environments\u201d\u003Cstrong\u003E\u0026nbsp;\u003C\/strong\u003Eas part of the IRIM Robotics Seminar Series.\u0026nbsp;The event will be held in the\u0026nbsp;TSRB Banquet Hall from 12-1 p.m. and is open to the public.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Mac Schwager presents \u201cMulti-Robot Systems for Monitoring and Controlling Large Scale Environments\u201d as part of the IRIM Robotics Seminar Series."}],"uid":"27255","created_gmt":"2015-01-06 17:31:02","changed_gmt":"2017-04-13 21:20:47","author":"Josie Giles","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2015-04-22T13:00:00-04:00","event_time_end":"2015-04-22T14:00:00-04:00","event_time_end_last":"2015-04-22T14:00:00-04:00","gmt_time_start":"2015-04-22 17:00:00","gmt_time_end":"2015-04-22 18:00:00","gmt_time_end_last":"2015-04-22 18:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"361361":{"id":"361361","type":"image","title":"Mac Schwager","body":null,"created":"1449245782","gmt_created":"2015-12-04 16:16:22","changed":"1475895096","gmt_changed":"2016-10-08 02:51:36","alt":"Mac Schwager","file":{"fid":"201566","name":"mac-schwager.jpg","image_path":"\/sites\/default\/files\/images\/mac-schwager_0.jpg","image_full_path":"http:\/\/www.tlwarc.hg.gatech.edu\/\/sites\/default\/files\/images\/mac-schwager_0.jpg","mime":"image\/jpeg","size":81500,"path_740":"http:\/\/www.tlwarc.hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/mac-schwager_0.jpg?itok=yZNdFIaK"}}},"media_ids":["361361"],"related_links":[{"url":"http:\/\/people.bu.edu\/schwager\/","title":"Mac Schwager"},{"url":"http:\/\/robotics.gatech.edu\/","title":"Center for Robotics \u0026 Intelligent Machines"}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50876","name":"School of Interactive Computing"},{"id":"142761","name":"IRIM"}],"categories":[],"keywords":[{"id":"1808","name":"graduate students"},{"id":"81491","name":"Institute for Robotics and Intelligent Machines (IRIM)"},{"id":"667","name":"robotics"},{"id":"167194","name":"seminar series"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78751","name":"Undergraduate students"},{"id":"78761","name":"Faculty\/Staff"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EJosie Giles\u003Cbr \/\u003EIRIM Marketing Communications Mgr.\u003Cbr \/\u003E\u003Ca href=\u0022mailto:josie@gatech.edu\u0022\u003Ejosie@gatech.edu\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"361351":{"#nid":"361351","#data":{"type":"event","title":"IRIM Robotics Seminar\u2013Jonathan Rogers","body":[{"value":"\u003Cp\u003EGeorgia Tech\u2019s Jonathan Rogers presents \u201cRisky Robotics: Developing a Practical Solution for Stochastic Optimal Control\u201d as part of the IRIM Robotics Seminar Series. The event will be held in the Georgia Tech Manufacturing Institute Auditorium from 12-1 p.m. and is open to the public.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003ERisk is a ubiquitous aspect of control and path planning for robots operating in unstructured real-world environments.\u0026nbsp;Nevertheless, humans still far surpass robots in their ability to evaluate complex tradeoffs under uncertainty through risk analysis and subsequent decision making.\u0026nbsp;Many traditional approaches to the stochastic optimal control problem, such as Partially Observable Markov Decision Processes (POMDP\u2019s), suffer from the curse of dimensionality and become computationally intractable in many real-world scenarios.\u0026nbsp;In this seminar, a new class of stochastic control algorithms is proposed that makes use of emerging high-performance computing devices, specifically GPUs, to perform real-time uncertainty quantification (UQ) as part of a feedback control loop.\u0026nbsp;These algorithms propagate the time-varying probability density of the robot state and optimize control actions with respect to accuracy, obstacle avoidance, and other criteria.\u0026nbsp;Key to practical implementation of these algorithms is the fact that many UQ algorithms can be parallelized; thus they can leverage emerging embedded high-throughput devices for real-time or near real-time execution.\u0026nbsp;Following an overview of the general formulation of these stochastic control algorithms, examples are provided in the form of autonomous parafoil and quadrotor flight controllers that make use of real-time uncertainty analysis for obstacle avoidance in constrained environments.\u0026nbsp;Recent experimental flight tests using embedded GPUs show that a strong coupling between UQ and optimal control offers a practical solution for risk mitigation by autonomous systems.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EJonathan Rogers is an assistant professor in the Woodruff School of Mechanical Engineering at the Georgia Institute of Technology, where he is also director of the Intelligent Robotics and Emergent Automation Laboratory (iREAL). Previously, he served as an assistant professor of Aerospace Engineering at Texas A\u0026amp;M University.\u0026nbsp;Roger\u2019s research interests lie at the intersection of nonlinear dynamics, robust control, and state estimation. He received his PhD in Aerospace Engineering from Georgia Tech in 2009, and a BS in Physics from Georgetown University in 2006. In 2011, he was selected as an Army Research Office Young Investigator for his work in state estimation for complex dynamical systems.\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp class=\u0022p1\u0022\u003EGeorgia Tech\u2019s Jonathan Rogers presents \u201cRisky Robotics: Developing a Practical Solution for Stochastic Optimal Control\u201d as part of the IRIM Robotics Seminar Series. The event will be held in the Georgia Tech Manufacturing Institute Auditorium from 12-1 p.m. and is open to the public.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Jonathan Rogers presents a seminar as part of its Robotics Seminar Series."}],"uid":"27255","created_gmt":"2015-01-06 17:19:51","changed_gmt":"2017-04-13 21:20:47","author":"Josie Giles","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2015-04-15T13:00:00-04:00","event_time_end":"2015-04-15T14:00:00-04:00","event_time_end_last":"2015-04-15T14:00:00-04:00","gmt_time_start":"2015-04-15 17:00:00","gmt_time_end":"2015-04-15 18:00:00","gmt_time_end_last":"2015-04-15 18:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"362541":{"id":"362541","type":"image","title":"Jonathan Rogers","body":null,"created":"1449245793","gmt_created":"2015-12-04 16:16:33","changed":"1475895098","gmt_changed":"2016-10-08 02:51:38","alt":"Jonathan Rogers","file":{"fid":"201593","name":"jrogers-222x300.jpg","image_path":"\/sites\/default\/files\/images\/jrogers-222x300_0.jpg","image_full_path":"http:\/\/www.tlwarc.hg.gatech.edu\/\/sites\/default\/files\/images\/jrogers-222x300_0.jpg","mime":"image\/jpeg","size":33453,"path_740":"http:\/\/www.tlwarc.hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/jrogers-222x300_0.jpg?itok=8KuPKZMJ"}}},"media_ids":["362541"],"related_links":[{"url":"http:\/\/robotics.gatech.edu\/","title":"Center for Robotics \u0026 Intelligent Machines"},{"url":"http:\/\/ireal.gatech.edu\/","title":"Jonathan Rogers"}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50876","name":"School of Interactive Computing"},{"id":"142761","name":"IRIM"}],"categories":[],"keywords":[{"id":"1808","name":"graduate students"},{"id":"81491","name":"Institute for Robotics and Intelligent Machines (IRIM)"},{"id":"667","name":"robotics"},{"id":"167194","name":"seminar series"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78751","name":"Undergraduate students"},{"id":"78761","name":"Faculty\/Staff"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EJosie Giles\u003Cbr \/\u003EIRIM Marketing Communications Mgr.\u003Cbr \/\u003E\u003Ca href=\u0022mailto:josie@gatech.edu\u0022\u003Ejosie@gatech.edu\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"361341":{"#nid":"361341","#data":{"type":"event","title":"IRIM Robotics Seminar\u2013Gabe Sibley","body":[{"value":"\u003Cp\u003EUniversity of Colorado Boulder\u2019s\u0026nbsp;Gabe Sibley\u0026nbsp;presents \u201cMobile Robot Perception for Long-term Autonomy\u201d as part of the IRIM Robotics Seminar Series.\u0026nbsp;The event will be held in the\u0026nbsp;TSRB Banquet Hall from 12-1 p.m. and is open to the public.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract\u003C\/strong\u003E\u003C\/p\u003E\u003Cp class=\u0022p1\u0022\u003EThis talk will cover recent advances in mobile perception, planning and control from the Autonomous Robotics and Perception Group (ARPG) at the University of Colorado, Boulder.\u0026nbsp; We will discuss results ranging from scalable visual-inertial SLAM, dense 3D SLAM, semantic SLAM, unsupervised object discovery, and photometric SLAM, and how these approaches can be tightly integrated using model predictive control for high-speed ground vehicles.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EGabe Sibley is an assistant professor in Computer Science at the University of Colorado, Boulder. Before joining CU, Sibley was an assistant professor in Computer Science at George Washington University and director of the Autonomous Robotics \u0026amp; Perception Lab.\u003C\/p\u003E\u003Cp\u003EPreviously, he was a junior research fellow at Somerville College, Oxford, and a post-doctoral research assistant in the Mobile Robotics Group of the Oxford University Engineering Department working with Professor Paul Newman.\u003C\/p\u003E\u003Cp\u003ESibley was a Ph.D. student at the Robotic Embedded Systems Laboratory at the University of Southern California under the supervision of Professor Gaurav Sukhatme and a Robotics Engineer in the Computer Vision Group at NASA-JPL under Dr. Larry Matthies. At NASA-JPL, Sibley worked on long-range data-fusion algorithms for planetary landing vehicles, unmanned sea vehicles, and unmanned ground vehicles.\u003C\/p\u003E\u003Cp\u003ESibley\u2019s core interest is in probabilistic perception algorithms and estimation theory that enable long-term autonomous operation of mobile robotic systems, particularly in unknown environments. He has extensive experience with vision-based, real-time localization and mapping systems, and he is interested in fundamental understanding of sufficient statistics that can be used to represent the state of the world. His research uses real-time, embodied robot systems equipped with a variety of sensors, including lasers, cameras, and inertial sensors to advance and validate algorithms and knowledge representations that are useful for enabling long-term autonomous operation.\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp class=\u0022p1\u0022\u003EUniversity of Colorado Boulder\u2019s\u0026nbsp;Gabe Sibley\u0026nbsp;presents \u201cMobile Robot Perception for Long-term Autonomy\u201d as part of the IRIM Robotics Seminar Series.\u0026nbsp;The event will be held in the\u0026nbsp;TSRB Banquet Hall from 12-1 p.m. and is open to the public.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Gabe Sibley presents \u201cMobile Robot Perception for Long-term Autonomy\u201d as part of the IRIM Robotics Seminar Series."}],"uid":"27255","created_gmt":"2015-01-06 17:04:28","changed_gmt":"2017-04-13 21:20:47","author":"Josie Giles","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2015-04-01T13:00:00-04:00","event_time_end":"2015-04-01T14:00:00-04:00","event_time_end_last":"2015-04-01T14:00:00-04:00","gmt_time_start":"2015-04-01 17:00:00","gmt_time_end":"2015-04-01 18:00:00","gmt_time_end_last":"2015-04-01 18:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"318471":{"id":"318471","type":"image","title":"Gabe Sibley","body":null,"created":"1449244974","gmt_created":"2015-12-04 16:02:54","changed":"1475895027","gmt_changed":"2016-10-08 02:50:27","alt":"Gabe Sibley","file":{"fid":"200007","name":"sibley-gabe.png","image_path":"\/sites\/default\/files\/images\/sibley-gabe_0.png","image_full_path":"http:\/\/www.tlwarc.hg.gatech.edu\/\/sites\/default\/files\/images\/sibley-gabe_0.png","mime":"image\/png","size":63084,"path_740":"http:\/\/www.tlwarc.hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/sibley-gabe_0.png?itok=2rURUx_n"}}},"media_ids":["318471"],"related_links":[{"url":"http:\/\/robotics.gatech.edu\/","title":"Center for Robotics \u0026 Intelligent Machines"},{"url":"https:\/\/www.colorado.edu\/cs\/users\/gasi6462","title":"Gabe Sibley"}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50876","name":"School of Interactive Computing"},{"id":"142761","name":"IRIM"}],"categories":[],"keywords":[{"id":"1808","name":"graduate students"},{"id":"81491","name":"Institute for Robotics and Intelligent Machines (IRIM)"},{"id":"667","name":"robotics"},{"id":"167194","name":"seminar series"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78751","name":"Undergraduate students"},{"id":"78761","name":"Faculty\/Staff"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EJosie Giles\u003Cbr \/\u003EIRIM Marketing Communications Mgr.\u003Cbr \/\u003E\u003Ca href=\u0022mailto:josie@gatech.edu\u0022\u003Ejosie@gatech.edu\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"361301":{"#nid":"361301","#data":{"type":"event","title":"IRIM Robotics Seminar\u2013Luis Sentis","body":[{"value":"\u003Cp\u003EUniversity of Texas at Austin\u2019s\u0026nbsp;Luis Sentis presents \u201cHumanoids of the Future\u201d as part of the IRIM Robotics Seminar Series.\u0026nbsp;The event will be held in the\u0026nbsp;TSRB Banquet Hall from 12-1 p.m. and is open to the public.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EAs the world\u2019s population lives longer, human-centered robotics emerges as a solution for the assistance, augmentation, and representation of humans to their comfort, productivity, and health. In this context, the Human Centered Robotics Lab studies key problems in mobility and manipulation of humanoid robots. In the first part of the talk, I will describe our work with the Office of Naval Research on endowing agile and compliant physical capabilities to bipedal robots. In particular, I will focus on the performance analysis of the whole-body operational space control framework during locomotion. In the second part of the talk, I will describe our work with NASA on physical human-robot interaction involving collisions between humans and mobile platforms and cooperative behaviors in rough terrains. Finally, I will comment on our work on building high performance actuators and software middleware for NASA\u2019s Valkyrie humanoid robot.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003ELuis Sentis is an assistant professor in the Department of Mechanical Engineering at the University of Texas at Austin. He received his Ph.D and M.S. degrees in Electrical Engineering from Stanford University where he was also a postdoctoral fellow. He was a La Caixa Foundation Fellow during his Stanford years. He holds a B.S. (Honors Thesis) degree in Telecommunications and Electronics Engineering from the Polytechnic University of Catalonia (UPC). Before Stanford, he worked in Silicon Valley as a control systems engineer where he programmed Fanuc Robots for the clean room automation industry.\u003C\/p\u003E\u003Cp\u003EIn Austin, Sentis leads the Human Centered Robotics Laboratory, an experimental laboratory with two research fellows, six Ph.D. students, one M.S. student, several undergraduate students, and two humanoid robots. He was UT Austin\u0027s lead for the DARPA Robotics Challenge with NASA Johnson Space Center during 2012-2013. His research focuses on safe physical human robot interactions, whole-body operational space control of human centered robots, high performance series elastic actuators, mobile manipulation in rough terrains, and agile bipedal locomotion. The Office of Naval Research, NASA, DARPA, Willow Garage, and AAA Electronics have funded his research.\u0026nbsp;More recently, he was awarded the NASA Elite Team Award.\u0026nbsp;\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EUniversity of Texas at Austin\u2019s\u0026nbsp;Luis Sentis presents \u201cHumanoids of the Future\u201d as part of the IRIM Robotics Seminar Series.\u0026nbsp;The event will be held in the\u0026nbsp;TSRB Banquet Hall from 12-1 p.m. and is open to the public.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Luis Sentis presents \u201cHumanoids of the Future\u201d as part of the IRIM Robotics Seminar Series."}],"uid":"27255","created_gmt":"2015-01-06 16:51:14","changed_gmt":"2017-04-13 21:20:47","author":"Josie Giles","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2015-03-25T13:00:00-04:00","event_time_end":"2015-03-25T14:00:00-04:00","event_time_end_last":"2015-03-25T14:00:00-04:00","gmt_time_start":"2015-03-25 17:00:00","gmt_time_end":"2015-03-25 18:00:00","gmt_time_end_last":"2015-03-25 18:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"318451":{"id":"318451","type":"image","title":"Luis Sentis","body":null,"created":"1449244974","gmt_created":"2015-12-04 16:02:54","changed":"1475895027","gmt_changed":"2016-10-08 02:50:27","alt":"Luis Sentis","file":{"fid":"200006","name":"sentis-luis.jpg","image_path":"\/sites\/default\/files\/images\/sentis-luis_0.jpg","image_full_path":"http:\/\/www.tlwarc.hg.gatech.edu\/\/sites\/default\/files\/images\/sentis-luis_0.jpg","mime":"image\/jpeg","size":28420,"path_740":"http:\/\/www.tlwarc.hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/sentis-luis_0.jpg?itok=1gwD-ft-"}}},"media_ids":["318451"],"related_links":[{"url":"http:\/\/www.me.utexas.edu\/directory\/faculty\/sentis\/luis\/","title":"Luis Sentis"},{"url":"http:\/\/robotics.gatech.edu\/","title":"Center for Robotics \u0026 Intelligent Machines"}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50876","name":"School of Interactive Computing"},{"id":"142761","name":"IRIM"}],"categories":[],"keywords":[{"id":"1808","name":"graduate students"},{"id":"81491","name":"Institute for Robotics and Intelligent Machines (IRIM)"},{"id":"667","name":"robotics"},{"id":"167194","name":"seminar series"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78751","name":"Undergraduate students"},{"id":"78761","name":"Faculty\/Staff"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EJosie Giles\u003Cbr \/\u003EIRIM Marketing Communications Mgr.\u003Cbr \/\u003E\u003Ca href=\u0022mailto:josie@gatech.edu\u0022\u003Ejosie@gatech.edu\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"361291":{"#nid":"361291","#data":{"type":"event","title":"IRIM Robotics Seminar\u2013Lydia E. Kavraki","body":[{"value":"\u003Cp\u003ERice\u2019s\u0026nbsp;Lydia Kavraki\u0026nbsp;presents\u0026nbsp;\u201cReasoning for Complex Physical Systems\u201d\u0026nbsp;as part of the IRIM Robotics Seminar Series.\u0026nbsp;The event will be held in the\u0026nbsp;Georgia Tech Manufacturing Institute Auditorium from 12-1 p.m. and is open to the public.\u003Cbr \/\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003ERobots are rapidly evolving from simple instruments for repetitive tasks to increasingly sophisticated machines capable of performing challenging operations in our daily environment. As they make their way out of custom-made workspaces in factories, algorithms that integrate task and motion planning are needed to enable robots to autonomously execute high-level tasks. This talk will describe a novel framework for the synthesis of motion plans using specifications expressed in temporal logics and sampling-based motion planners. The power and extensibility of the framework has led to algorithmic advances for analyzing the motion and function of proteins, the worker molecules of all cells. The talk will conclude by discussing robotics-inspired methods for computing the flexibility of proteins and large macromolecular complexes with the ultimate goals of deciphering molecular function and aiding the discovery of new therapeutics.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003ELydia E. Kavraki is the Noah Harding Professor of Computer Science and Bioengineering at Rice University. She received her B.A. in Computer Science from the University of Crete in Greece and her Ph.D. in Computer Science from Stanford University. Her research contributions are in physical algorithms and their applications in robotics, as well as in computational structural biology and biomedicine. Kavraki has authored more than 200 peer-reviewed journal and conference publications and co-authored the popular robotics textbook \u201cPrinciples of Robot Motion\u201d published by MIT Press. She is heavily involved in the development of The Open Motion Planning Library, which is used in industry and in academic research in robotics and medicine. Kavraki is a Fellow of the Association of Computing Machinery, a Fellow of the Institute of Electrical and Electronics Engineers, a Fellow of the Association for the Advancement of Artificial Intelligence, a Fellow of the American Institute for Medical and Biological Engineering, a Fellow of the American Association for the Advancement of Science, and a member of the Institute of Medicine of the National Academies. She was recently recognized with the Women in Science Award from BioHouston.\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp class=\u0022p1\u0022\u003ERice\u2019s\u0026nbsp;Lydia Kavraki\u0026nbsp;presents \u201cReasoning for Complex Physical Systems\u201d\u0026nbsp;as part of the IRIM Robotics Seminar Series.\u0026nbsp;The event will be held in the\u0026nbsp;Georgia Tech Manufacturing Institute Auditorium from 12-1 p.m. and is open to the public.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Lydia Kavraki presents \u201cReasoning for Complex Physical Systems\u201d as part of the IRIM Robotics Seminar Series."}],"uid":"27255","created_gmt":"2015-01-06 16:45:44","changed_gmt":"2017-04-13 21:20:47","author":"Josie Giles","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2015-03-11T13:00:00-04:00","event_time_end":"2015-03-11T14:00:00-04:00","event_time_end_last":"2015-03-11T14:00:00-04:00","gmt_time_start":"2015-03-11 17:00:00","gmt_time_end":"2015-03-11 18:00:00","gmt_time_end_last":"2015-03-11 18:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"361281":{"id":"361281","type":"image","title":"Lydia E. Kavraki","body":null,"created":"1449245782","gmt_created":"2015-12-04 16:16:22","changed":"1475895096","gmt_changed":"2016-10-08 02:51:36","alt":"Lydia E. Kavraki","file":{"fid":"201565","name":"lydia-kavraki.jpg","image_path":"\/sites\/default\/files\/images\/lydia-kavraki_0.jpg","image_full_path":"http:\/\/www.tlwarc.hg.gatech.edu\/\/sites\/default\/files\/images\/lydia-kavraki_0.jpg","mime":"image\/jpeg","size":1607661,"path_740":"http:\/\/www.tlwarc.hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/lydia-kavraki_0.jpg?itok=eeWXfixi"}}},"media_ids":["361281"],"related_links":[{"url":"http:\/\/www.cs.rice.edu\/~kavraki\/","title":"Lydia Kavraki"},{"url":"http:\/\/robotics.gatech.edu\/","title":"Center for Robotics \u0026 Intelligent Machines"}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50876","name":"School of Interactive Computing"},{"id":"142761","name":"IRIM"}],"categories":[],"keywords":[{"id":"1808","name":"graduate students"},{"id":"81491","name":"Institute for Robotics and Intelligent Machines (IRIM)"},{"id":"667","name":"robotics"},{"id":"167194","name":"seminar series"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78751","name":"Undergraduate students"},{"id":"78761","name":"Faculty\/Staff"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EJosie Giles\u003Cbr \/\u003EIRIM Marketing Communications Mgr.\u003Cbr \/\u003E\u003Ca href=\u0022mailto:josie@gatech.edu\u0022\u003Ejosie@gatech.edu\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"361171":{"#nid":"361171","#data":{"type":"event","title":"IRIM Robotics Seminar\u2013Hod Lipson","body":[{"value":"\u003Cp\u003ECornell University\u2019s\u0026nbsp;Hod Lipson\u0026nbsp;presents \u201cThe Robotic Scientist: Automating Discovery, from Cognitive Robotics to Computational Biology\u201d\u0026nbsp;as part of the IRIM Robotics Seminar Series.\u0026nbsp;The event will be held in the\u0026nbsp;TSRB Auditorium from 12-1 p.m. and is open to the public.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003ECan robots discover scientific laws automatically? Despite the prevalence of computing power, the process of finding natural laws and their corresponding equations has resisted automation. This talk will outline a series of recent research projects\u2014starting with self-reflecting robotic systems and ending with machines that can formulate hypotheses, design experiments, and interpret the results\u2014to discover new scientific laws. We will see examples from psychology to cosmology, from classical physics to modern physics, from big science to small science.\u003C\/p\u003E\u003Cp\u003EFor additional information:\u003C\/p\u003E\u003Cp\u003ESchmidt M., Lipson H. (2009) \u201c\u003Ca href=\u0022http:\/\/ccsl.mae.cornell.edu\/sites\/default\/files\/Science09_Schmidt.pdf\u0022 target=\u0022_blank\u0022\u003EDistilling Free-Form Natural Laws from Experimental Data\u003C\/a\u003E,\u201d\u0026nbsp;\u003Cem\u003EScience\u003C\/em\u003E, Vol. 324, no. 5923, pp. 81 - 85.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EHod Lipson is an associate professor in the School of Mechanical and Aerospace Engineering\u0026nbsp;and Computing and Information Science department at Cornell University in Ithaca, New York. He directs the Creative Machines Lab, which focuses on novel ways for automatic design, fabrication, and adaptation of virtual and physical machines. He has led work in areas such as evolutionary robotics, multi-material 3D printing, machine self-replication, and programmable self-assembly. Lipson received his Ph.D. from Technion \u2013 Israel Institute of Technology in 1998, and completed postdoctoral appointments at Brandeis University and MIT. His research focuses primarily on biologically inspired approaches, as they bring new ideas to engineering and new engineering insights to biology.\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp class=\u0022p1\u0022\u003ECornell University\u2019s\u0026nbsp;Hod Lipson\u0026nbsp;presents \u201cThe Robotic Scientist: Automating Discovery, from Cognitive Robotics to Computational Biology\u201d\u0026nbsp;as part of the IRIM Robotics Seminar Series.\u0026nbsp;The event will be held in the\u0026nbsp;TSRB Auditorium from 12-1 p.m. and is open to the public.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Hod Lipson presents a seminar as part of the IRIM Robotics Seminar Series."}],"uid":"27255","created_gmt":"2015-01-06 15:21:39","changed_gmt":"2017-04-13 21:20:47","author":"Josie Giles","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2015-03-04T11:00:00-05:00","event_time_end":"2015-03-04T12:00:00-05:00","event_time_end_last":"2015-03-04T12:00:00-05:00","gmt_time_start":"2015-03-04 16:00:00","gmt_time_end":"2015-03-04 17:00:00","gmt_time_end_last":"2015-03-04 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"362531":{"id":"362531","type":"image","title":"Hod Lipson","body":null,"created":"1449245793","gmt_created":"2015-12-04 16:16:33","changed":"1475895098","gmt_changed":"2016-10-08 02:51:38","alt":"Hod Lipson","file":{"fid":"201592","name":"hodlipson.jpg","image_path":"\/sites\/default\/files\/images\/hodlipson_0.jpg","image_full_path":"http:\/\/www.tlwarc.hg.gatech.edu\/\/sites\/default\/files\/images\/hodlipson_0.jpg","mime":"image\/jpeg","size":50700,"path_740":"http:\/\/www.tlwarc.hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/hodlipson_0.jpg?itok=YAzCbCNa"}}},"media_ids":["362531"],"related_links":[{"url":"http:\/\/robotics.gatech.edu\/","title":"Center for Robotics \u0026 Intelligent Machines"},{"url":"http:\/\/lipson.mae.cornell.edu\/","title":"Hod Lipson"}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50876","name":"School of Interactive Computing"},{"id":"142761","name":"IRIM"}],"categories":[],"keywords":[{"id":"1808","name":"graduate students"},{"id":"81491","name":"Institute for Robotics and Intelligent Machines (IRIM)"},{"id":"667","name":"robotics"},{"id":"167194","name":"seminar series"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78751","name":"Undergraduate students"},{"id":"78761","name":"Faculty\/Staff"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EJosie Giles\u003Cbr \/\u003EIRIM Marketing Communications Mgr.\u003Cbr \/\u003E\u003Ca href=\u0022mailto:josie@gatech.edu\u0022\u003Ejosie@gatech.edu\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"361231":{"#nid":"361231","#data":{"type":"event","title":"IRIM Robotics Seminar\u2013Byron Boots","body":[{"value":"\u003Cp\u003EGeorgia Tech\u2019s\u0026nbsp;Byron Boots\u0026nbsp;presents \u201cMethod of Moments for Learning Dynamical Systems\u201d as part of its Robotics Seminar Series.\u0026nbsp;The event will be held in the\u0026nbsp;TSRB Banquet Hall from 12-1 p.m. and is open to the public.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EA major challenge in machine learning is to reliably and automatically discover hidden\u0026nbsp;structure in high-dimensional data. This is an especially formidable problem for\u0026nbsp;sequential data: revealing the dynamical system that governs a complex time series is\u0026nbsp;often not just difficult, but provably intractable. Popular maximum likelihood strategies\u0026nbsp;for learning dynamical system models are slow in practice and often get stuck at poor\u0026nbsp;local optima, problems that greatly limit the utility of these techniques when learning\u0026nbsp;from real-world data. Although these drawbacks were long thought to be unavoidable,\u0026nbsp;recent work has shown that progress can be made by shifting the focus of learning to\u0026nbsp;realistic instances that rule out the intractable cases.\u003C\/p\u003E\u003Cp\u003EIn this talk, I will present a new family of computational approaches for learning\u0026nbsp;dynamical system models with a particular focus on problems relevant to robotics. The key insight is that low-order moments of observed data\u0026nbsp;often possess structure that can be revealed by powerful spectral decomposition\u0026nbsp;methods, and, from this structure, model parameters can be directly recovered.\u0026nbsp;Based\u0026nbsp;on this insight, we design highly effective algorithms for learning popular parametric models like\u0026nbsp;Kalman Filters and Hidden Markov Models, as well as an expressive new class of\u0026nbsp;nonparametric models via reproducing kernels. Unlike maximum likelihood-based\u0026nbsp;approaches, these new learning algorithms are statistically consistent, computationally\u0026nbsp;efficient, and easy to implement using established matrix-algebra techniques. The\u0026nbsp;result is a powerful framework for learning dynamical system models with state-of-the-art performance on video, robotics, and biological modeling problems.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EByron Boots is an assistant professor in the School of Interactive Computing at Georgia Tech. Prior to\u0026nbsp;joining Georgia Tech, he was a postdoctoral researcher working with Dieter Fox in the Robotics and State Estimation Lab at the University of Washington. He received his\u0026nbsp;Ph.D. in Machine Learning from Carnegie Mellon University in 2012, where Geoffrey Gordon was his advisor.\u0026nbsp;Boots\u2019s work on learning models of dynamical\u0026nbsp;systems received the 2010 Best Paper award at the International Conference on Machine Learning (ICML-2010). His research focuses on modeling and control\u0026nbsp;problems at the intersection of statistical machine learning, artificial intelligence, and robotics.\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp class=\u0022p1\u0022\u003EGeorgia Tech\u2019s\u0026nbsp;Byron Boots\u0026nbsp;presents \u201cMethod of Moments for Learning Dynamical Systems\u201d as part of its Robotics Seminar Series.\u0026nbsp;The event will be held in the\u0026nbsp;TSRB Banquet Hall from 12-1 p.m. and is open to the public.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Byron Boots presents \u201cMethod of Moments for Learning Dynamical Systems\u201d as part of its Robotics Seminar Series."}],"uid":"27255","created_gmt":"2015-01-06 16:32:44","changed_gmt":"2017-04-13 21:20:47","author":"Josie Giles","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2015-02-25T11:00:00-05:00","event_time_end":"2015-02-25T12:00:00-05:00","event_time_end_last":"2015-02-25T12:00:00-05:00","gmt_time_start":"2015-02-25 16:00:00","gmt_time_end":"2015-02-25 17:00:00","gmt_time_end_last":"2015-02-25 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"317171":{"id":"317171","type":"image","title":"Byron Boots","body":null,"created":"1449244974","gmt_created":"2015-12-04 16:02:54","changed":"1475895024","gmt_changed":"2016-10-08 02:50:24","alt":"Byron Boots","file":{"fid":"201768","name":"byronboots.jpeg","image_path":"\/sites\/default\/files\/images\/byronboots_0.jpeg","image_full_path":"http:\/\/www.tlwarc.hg.gatech.edu\/\/sites\/default\/files\/images\/byronboots_0.jpeg","mime":"image\/jpeg","size":21673,"path_740":"http:\/\/www.tlwarc.hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/byronboots_0.jpeg?itok=CQ5xiJl1"}}},"media_ids":["317171"],"related_links":[{"url":"http:\/\/www.cc.gatech.edu\/~bboots3\/","title":"Byron Boots"},{"url":"http:\/\/robotics.gatech.edu\/","title":"Center for Robotics \u0026 Intelligent Machines"}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50876","name":"School of Interactive Computing"},{"id":"142761","name":"IRIM"}],"categories":[],"keywords":[{"id":"1808","name":"graduate students"},{"id":"81491","name":"Institute for Robotics and Intelligent Machines (IRIM)"},{"id":"667","name":"robotics"},{"id":"167194","name":"seminar series"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78751","name":"Undergraduate students"},{"id":"78761","name":"Faculty\/Staff"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EJosie Giles\u003Cbr \/\u003EIRIM Marketing Communications Mgr.\u003Cbr \/\u003E\u003Ca href=\u0022mailto:josie@gatech.edu\u0022\u003Ejosie@gatech.edu\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"361221":{"#nid":"361221","#data":{"type":"event","title":"IRIM Robotics Seminar\u2013Laurel D. Riek","body":[{"value":"\u003Cp class=\u0022p1\u0022\u003ENotre Dame\u2019s Laurel Riek presents \u201cHow Robots Can Sense, Think, and Act in the Human Social World\u201d as part of the IRIM Robotics Seminar Series. The event will be held in the\u0026nbsp;TSRB Banquet Hall from 12-1 p.m. and is open to the public.\u003C\/p\u003E\u003Cp class=\u0022p1\u0022\u003E\u003Cstrong\u003EAbstract\u003C\/strong\u003E\u003C\/p\u003E\u003Cp class=\u0022p1\u0022\u003EAs robots leave cages and enter human spaces, aiding people with disabilities, performing chores, or providing personal transit, a unique set of challenges are emerging. Sensing what people are doing, adapting to highly dynamic environments, and acting coherently and contingently all become challenging when robots transition from well-constrained environments to those that are human-centric and unstructured. We are working to facilitate this transition by exploring social perception and social synthesis capabilities for robots. We are also applying these methods to solve patient safety problems in healthcare. This talk will highlight several projects from my lab in this domain, including: (1) Modeling human-robot coordination and joint action, (2) Building interactive, facially expressive robotic patient simulators to train clinicians how to read patient signals of pain and stroke, and (3) Designing biologically-inspired models of social context to enable robots to learn and adapt to behavior norms.\u003C\/p\u003E\u003Cp class=\u0022p1\u0022\u003E\u003Cstrong\u003EBio\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003ELaurel Riek is the Clare Boothe Luce Assistant Professor of Computer Science and Engineering at the University of Notre Dame. Her research interests include robotics, social signal processing, and health informatics. She focuses on designing autonomous robots able to sense, respond, and adapt to human behavior. Her work also tackles real-world problems in healthcare by creating novel sensing and robotics technology to improve patient safety. Riek has received the NSF CAREER Award, a Qualcomm Research Scholar Award, several best paper awards, and five recognition awards during her eight-year tenure as a senior artificial intelligence engineer and roboticist at MITRE. She also was recently named as one of ASEE\u2019s 20 Faculty under 40. Riek serves on the editorial board of \u003Cem\u003EIEEE Transactions on Human Machine Systems\u003C\/em\u003E, as well as numerous conference program committees. Riek received her Ph.D. in Computer Science from the University of Cambridge, and a B.S. in Logic and Computation from Carnegie Mellon University.\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003ENotre Dame\u2019s Laurel Riek presents \u201cHow Robots Can Sense, Think, and Act in the Human Social World\u201d as part of the IRIM Robotics Seminar Series. The event will be held in the\u0026nbsp;TSRB Banquet Hall from 12-1 p.m. and is open to the public.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Laurel Riek presents \u201cHow Robots Can Sense, Think, and Act in the Human Social World\u201d as part of the IRIM Robotics Seminar Series."}],"uid":"27255","created_gmt":"2015-01-06 16:31:24","changed_gmt":"2017-04-13 21:20:47","author":"Josie Giles","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2015-02-18T11:00:00-05:00","event_time_end":"2015-02-18T12:00:00-05:00","event_time_end_last":"2015-02-18T12:00:00-05:00","gmt_time_start":"2015-02-18 16:00:00","gmt_time_end":"2015-02-18 17:00:00","gmt_time_end_last":"2015-02-18 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"related_links":[{"url":"http:\/\/robotics.gatech.edu\/","title":"Center for Robotics \u0026 Intelligent Machines"},{"url":"http:\/\/www3.nd.edu\/~lriek\/","title":"Laurel Riek"}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50876","name":"School of Interactive Computing"},{"id":"142761","name":"IRIM"}],"categories":[],"keywords":[{"id":"1808","name":"graduate students"},{"id":"81491","name":"Institute for Robotics and Intelligent Machines (IRIM)"},{"id":"667","name":"robotics"},{"id":"167194","name":"seminar series"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78751","name":"Undergraduate students"},{"id":"78761","name":"Faculty\/Staff"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EJosie Giles\u003Cbr \/\u003EIRIM Marketing Communications Mgr.\u003Cbr \/\u003E\u003Ca href=\u0022mailto:josie@gatech.edu\u0022\u003Ejosie@gatech.edu\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"361191":{"#nid":"361191","#data":{"type":"event","title":"IRIM Robotics Seminar\u2013Eric R. Eaton","body":[{"value":"\u003Cp\u003EUniversity of Pennsylvania\u2019s Eric Eaton presents \u201cEfficient Lifelong Machine Learning\u201d as part of the IRIM Robotics Seminar Series. The event will be held in the TSRB Banquet Hall from 12-1 p.m. and is open to the public.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003ELifelong learning is a key characteristic of human intelligence, largely responsible for the variety and complexity of our behavior. This process allows us to rapidly learn new skills\u0026nbsp;by building upon and continually refining our learned knowledge over a lifetime of experience. Incorporating these abilities into machine learning algorithms remains a mostly unsolved problem, but one that is essential for the development of versatile autonomous systems. \u0026nbsp;\u003C\/p\u003E\u003Cp\u003EIn this talk, I will present our recent progress in developing algorithms for lifelong machine learning. These algorithms acquire knowledge incrementally over consecutive learning tasks, and then transfer that knowledge to rapidly learn to solve new problems. Our approach is highly efficient, scaling to large numbers of tasks and amounts of data, and provides a variety of theoretical guarantees on performance and convergence. I will show that our lifelong learning system achieves state-of-the-art results in multi-task learning for classification and regression on a variety of domains, including facial expression recognition, land mine detection, and student examination score prediction. I will also describe how lifelong learning can be applied to sequential decision making for robotics, demonstrating accelerated learning for optimal control on several dynamical systems, including an application to quadrotor control. Finally, I will discuss our work toward autonomous cross-domain transfer, enabling knowledge to be automatically transferred between different task domains.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EEric Eaton is a faculty member in the\u0026nbsp;Department of Computer and Information Science\u0026nbsp;at the\u0026nbsp;University of Pennsylvania\u0026nbsp;and a member of the\u0026nbsp;GRASP (General Robotics Automation, Sensing, Perception) lab. Prior to joining Penn, he was a visiting assistant professor in the\u0026nbsp;computer science department\u0026nbsp;at\u0026nbsp;Bryn Mawr College. His primary research interests lie in the fields of machine learning, artificial intelligence, and data mining with applications to robotics, search \u0026amp; rescue, environmental sustainability, and medicine. In particular, his research focuses on developing versatile AI systems that can learn multiple tasks over a lifetime of experience in complex environments, transfer learned knowledge to rapidly acquire new abilities, and collaborate effectively with humans and other agents through interaction.\u003C\/p\u003E\u003Cp\u003EBefore moving into academia, Eaton\u0026nbsp;spent two years as a senior research scientist at\u0026nbsp;Lockheed Martin Advanced Technology Laboratories\u0026nbsp;working in applied research. At Lockheed Martin Atlanta, he led a number of machine learning research projects in the Artificial Intelligence Lab with a focus on their application for a variety of DoD organizations. While at Lockheed Martin, he was also a part-time faculty member in computer science at\u0026nbsp;Swarthmore College.\u003C\/p\u003E\u003Cp\u003EEaton\u0026nbsp;received his Ph.D. in computer science from the\u0026nbsp;University of Maryland, Baltimore County\u0026nbsp;(UMBC), focusing on artificial intelligence and machine learning. His dissertation developed methods for selective knowledge transfer between learning tasks and was advised by\u0026nbsp;Marie desJardins. At UMBC, he was a member of the\u0026nbsp;Multi-Agent Planning and LEarning (MAPLE)\u0026nbsp;research group and also a part-time instructor.\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EUniversity of Pennsylvania\u2019s Eric Eaton presents \u201cEfficient Lifelong Machine Learning\u201d as part of the IRIM Robotics Seminar Series. The event will be held in the TSRB Banquet Hall from 12-1 p.m. and is open to the public.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Eric Eaton presents \u201cEfficient Lifelong Machine Learning\u201d as part of the IRIM Robotics Seminar Series."}],"uid":"27255","created_gmt":"2015-01-06 16:20:43","changed_gmt":"2017-04-13 21:20:47","author":"Josie Giles","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2015-02-11T11:00:00-05:00","event_time_end":"2015-02-11T12:00:00-05:00","event_time_end_last":"2015-02-11T12:00:00-05:00","gmt_time_start":"2015-02-11 16:00:00","gmt_time_end":"2015-02-11 17:00:00","gmt_time_end_last":"2015-02-11 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"361211":{"id":"361211","type":"image","title":"Eric R. Eaton","body":null,"created":"1449245782","gmt_created":"2015-12-04 16:16:22","changed":"1475895096","gmt_changed":"2016-10-08 02:51:36","alt":"Eric R. Eaton","file":{"fid":"201562","name":"headshot-penn-eric.jpg","image_path":"\/sites\/default\/files\/images\/headshot-penn-eric_0.jpg","image_full_path":"http:\/\/www.tlwarc.hg.gatech.edu\/\/sites\/default\/files\/images\/headshot-penn-eric_0.jpg","mime":"image\/jpeg","size":808795,"path_740":"http:\/\/www.tlwarc.hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/headshot-penn-eric_0.jpg?itok=5MAnpp0d"}}},"media_ids":["361211"],"related_links":[{"url":"http:\/\/www.seas.upenn.edu\/~eeaton\/","title":"Eric Eaton"},{"url":"http:\/\/robotics.gatech.edu\/","title":"Center for Robotics \u0026 Intelligent Machines"}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50876","name":"School of Interactive Computing"},{"id":"142761","name":"IRIM"}],"categories":[],"keywords":[{"id":"1808","name":"graduate students"},{"id":"81491","name":"Institute for Robotics and Intelligent Machines (IRIM)"},{"id":"667","name":"robotics"},{"id":"167194","name":"seminar series"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78751","name":"Undergraduate students"},{"id":"78761","name":"Faculty\/Staff"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EJosie Giles\u003Cbr \/\u003EIRIM Marketing Communications Mgr.\u003Cbr \/\u003E\u003Ca href=\u0022mailto:josie@gatech.edu\u0022\u003Ejosie@gatech.edu\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"361151":{"#nid":"361151","#data":{"type":"event","title":"IRIM Robotics Seminar\u2013Brenna D. Argall","body":[{"value":"\u003Cp\u003ENorthwestern\u2019s\u0026nbsp;Brenna Argall presents\u0026nbsp;\u201cTurning Assistive Machines into Assistive Robots\u201d\u0026nbsp;as part of the IRIM Robotics Seminar Series.\u0026nbsp;The event will be held in the\u0026nbsp;Georgia Tech Manufacturing Institute Auditorium from 12-1 p.m. and is open to the public.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EFor decades, the potential for automation\u2014in particular, in the form of smart wheelchairs\u2014to aid those with motor or cognitive impairments, has been recognized. It is a paradox that often the more severe a person\u0027s motor impairment, the more challenging it is for them to operate the very assistive machines that might enhance their quality of life. A primary aim of my lab is to address this confound by incorporating robotics autonomy and intelligence into assistive machines\u2014turning the machine into a kind of robot and offloading some of the control burden from the user. Robots already synthetically sense, act in and reason about the world, and these technologies can be leveraged to help bridge the gap left by sensory, motor, or cognitive impairments of the users of assistive machines. This talk will provide an overview of some of the ongoing projects in my lab, which strives to advance human ability through robotics autonomy.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EBrenna Argall is the June and Donald Brewer Junior Professor of Electrical Engineering \u0026amp; Computer Science at Northwestern University and also an assistant professor in the Department of Physical Medicine \u0026amp; Rehabilitation. She also holds a faculty research scientist position within the Sensory Motor Performance Program (SMPP) at the Rehabilitation Institute of Chicago (RIC), where she directs a rehabilitation robotics laboratory.\u003C\/p\u003E\u003Cp\u003EPrior to joining Northwestern and RIC, Argall was a postdoctoral fellow (2009-2011) in the Learning Algorithms and Systems Laboratory (LASA) at the \u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL) in Switzerland under the guidance of Prof. Aude Billard. In the spring of 2009, Argall completed a Ph.D. in Robotics with co-advisors Prof. Manuela Veloso and Dr. Brett Browning in the Robotics Institute at Carnegie Mellon University, where she was affiliated with the CORAL Research Group.\u003C\/p\u003E\u003Cp\u003EArgall has lived in Doha, Qatar (Spring 2007), while assistant teaching at Carnegie Mellon\u0027s Qatar Campus, and in Brisbane, Australia (Summer 2008), while serving as a research intern with the Autonomous Systems Laboratory at CSIRO. Her M.S. in Robotics (2006), and B.S. in Mathematics (2002), along with minors in Music and Biology, were granted by Carnegie Mellon. Prior to attending graduate school, Argall held a computational biology position in the Laboratory of Brain and Cognition at the National Institutes of Health (NIH). Her research interests lie at the intersection of robotics, machine learning, and rehabilitation, particularly on adding partial automation and artificial intelligence to assistive machines that are modular, adaptable, and teachable in how they share control with the human user.\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp class=\u0022p1\u0022\u003ENorthwestern\u2019s\u0026nbsp;Brenna Argall presents \u201cTurning Assistive Machines into Assistive Robots\u201d\u0026nbsp;as part of the IRIM Robotics Seminar Series.\u0026nbsp;The event will be held in the\u0026nbsp;Georgia Tech Manufacturing Institute Auditorium from 12-1 p.m. and is open to the public.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Brenna Argall presents \u201cTurning Assistive Machines into Assistive Robots\u201d as part of the IRIM Robotics Seminar Series."}],"uid":"27255","created_gmt":"2015-01-06 14:39:56","changed_gmt":"2017-04-13 21:20:47","author":"Josie Giles","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2015-01-21T11:00:00-05:00","event_time_end":"2015-01-21T12:00:00-05:00","event_time_end_last":"2015-01-21T12:00:00-05:00","gmt_time_start":"2015-01-21 16:00:00","gmt_time_end":"2015-01-21 17:00:00","gmt_time_end_last":"2015-01-21 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"361141":{"id":"361141","type":"image","title":"Brenna D. Argall","body":null,"created":"1449245782","gmt_created":"2015-12-04 16:16:22","changed":"1475895096","gmt_changed":"2016-10-08 02:51:36","alt":"Brenna D. Argall","file":{"fid":"201561","name":"brenna.argall.jpg","image_path":"\/sites\/default\/files\/images\/brenna.argall_0.jpg","image_full_path":"http:\/\/www.tlwarc.hg.gatech.edu\/\/sites\/default\/files\/images\/brenna.argall_0.jpg","mime":"image\/jpeg","size":88267,"path_740":"http:\/\/www.tlwarc.hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/brenna.argall_0.jpg?itok=JkRUQtUw"}}},"media_ids":["361141"],"related_links":[{"url":"http:\/\/users.eecs.northwestern.edu\/~argall\/","title":"Brenna Argall"},{"url":"http:\/\/robotics.gatech.edu\/","title":"Center for Robotics \u0026 Intelligent Machines"}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50876","name":"School of Interactive Computing"},{"id":"142761","name":"IRIM"}],"categories":[],"keywords":[{"id":"1808","name":"graduate students"},{"id":"81491","name":"Institute for Robotics and Intelligent Machines (IRIM)"},{"id":"667","name":"robotics"},{"id":"167194","name":"seminar series"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78751","name":"Undergraduate students"},{"id":"78761","name":"Faculty\/Staff"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EJosie Giles\u003Cbr \/\u003EIRIM Marketing Communications Mgr.\u003Cbr \/\u003E\u003Ca href=\u0022mailto:josie@gatech.edu\u0022\u003Ejosie@gatech.edu\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"360871":{"#nid":"360871","#data":{"type":"event","title":"IRIM Robotics Seminar\u2013Dmitry Berenson","body":[{"value":"\u003Cp\u003EWorcester Polytechnic Institute\u2019s Dmitry Berenson\u0026nbsp;presents\u0026nbsp;\u201cTransformations and Frontiers in Robot Motion and Manipulation\u201d as part of the IRIM Robotics Seminar Series.\u0026nbsp;The event will be held in the\u0026nbsp;TSRB Banquet Hall from 12-1 p.m. and is open to the public.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract\u003C\/strong\u003E\u003C\/p\u003E\u003Cp class=\u0022p1\u0022\u003ERobotics is undergoing three transformations, which are changing our research focus and opening doors to new applications. The need for robotic manipulation in unstructured environments, human-robot collaborative systems, and handling soft materials is transforming the fundamental assumptions underlying our methods for manipulation planning and creating new opportunities for applications in service robotics, health care, and manufacturing. I will present our contributions to these transformations, which include new algorithms that plan motion with multiple simultaneous constraints, manage sensor uncertainty in the planning process, model human motion in collaborative settings, and control manipulation of soft objects. I will discuss the theory behind these approaches and show practical applications on real-world robots. I will end by identifying three frontiers that are emerging as a result of these transformations as well as prospects for their exploration.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio\u003C\/strong\u003E\u003C\/p\u003E\u003Cp class=\u0022p1\u0022\u003EDmitry Berenson\u0026nbsp;received a B.S. in Electrical and Computer Engineering from Cornell University in 2005, where he started his robotics work in\u0026nbsp;Hod Lipson\u0027s\u003Ca href=\u0022http:\/\/creativemachines.cornell.edu\/\u0022 data-cke-saved-href=\u0022http:\/\/creativemachines.cornell.edu\/\u0022\u003E\u0026nbsp;\u003C\/a\u003Elab. He went on to graduate from the Ph.D. program at the\u0026nbsp;Robotics Institute\u0026nbsp;at Carnegie Mellon University (CMU) in 2011, where his advisors were\u0026nbsp;Siddhartha Srinivasa\u0026nbsp;and\u0026nbsp;James Kuffner. While at CMU, Berenson\u0026nbsp;worked in the\u0026nbsp;Personal Robotics Lab\u0026nbsp;and completed internships at the\u0026nbsp;Digital Human Research Center\u0026nbsp;in Japan,\u0026nbsp;Intel Labs\u0026nbsp;in Pittsburgh, and\u0026nbsp;LAAS-CNRS\u0026nbsp;in France.\u003C\/p\u003E\u003Cp class=\u0022p1\u0022\u003EIn 2012, Berenson\u0026nbsp;completed a post-doc at UC Berkeley, working with\u0026nbsp;Ken Goldberg\u0026nbsp;and\u0026nbsp;Pieter Abbeel. In August 2012, he joined the\u0026nbsp;WPI\u0026nbsp;faculty\u0026nbsp;as an assistant professor in the\u0026nbsp;Robotics Engineering Program\u0026nbsp;and\u0026nbsp;Computer Science Department\u0026nbsp;where he\u0026nbsp;founded the\u0026nbsp;Autonomous Robotic Collaboration (ARC) Lab, which focuses on motion planning, manipulation, and human-robot collaboration. His research focuses on creating algorithms that allow robots to interact with the world and collaborate efficiently with people. These general-purpose motion planning and manipulation algorithms can be applied to robots that work in homes, factories, and operating rooms.\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp class=\u0022p1\u0022\u003EWorcester Polytechnic Institute\u2019s Dmitry Berenson\u0026nbsp;presents\u0026nbsp;\u201cTransformations and Frontiers in Robot Motion and Manipulation\u201d as part of the IRIM Robotics Seminar Series.\u0026nbsp;The event will be held in the\u0026nbsp;TSRB Banquet Hall from 12-1 p.m. and is open to the public.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Dmitry Berenson presents \u201cTransformations and Frontiers in Robot Motion and Manipulation\u201d as part of the IRIM Robotics Seminar Series."}],"uid":"27255","created_gmt":"2015-01-05 17:56:48","changed_gmt":"2017-04-13 21:20:48","author":"Josie Giles","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2015-01-14T11:00:00-05:00","event_time_end":"2015-01-14T12:00:00-05:00","event_time_end_last":"2015-01-14T12:00:00-05:00","gmt_time_start":"2015-01-14 16:00:00","gmt_time_end":"2015-01-14 17:00:00","gmt_time_end_last":"2015-01-14 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"360881":{"id":"360881","type":"image","title":"Dmitry Berenson","body":null,"created":"1449245782","gmt_created":"2015-12-04 16:16:22","changed":"1475895096","gmt_changed":"2016-10-08 02:51:36","alt":"Dmitry Berenson","file":{"fid":"201554","name":"dmitry-berenson.jpg","image_path":"\/sites\/default\/files\/images\/dmitry-berenson_0.jpg","image_full_path":"http:\/\/www.tlwarc.hg.gatech.edu\/\/sites\/default\/files\/images\/dmitry-berenson_0.jpg","mime":"image\/jpeg","size":633163,"path_740":"http:\/\/www.tlwarc.hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/dmitry-berenson_0.jpg?itok=06XlMPBc"}}},"media_ids":["360881"],"related_links":[{"url":"http:\/\/users.wpi.edu\/~dberenson\/","title":"Dmitry Berenson"},{"url":"http:\/\/robotics.gatech.edu\/","title":"Center for Robotics \u0026 Intelligent Machines"}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50876","name":"School of Interactive Computing"},{"id":"142761","name":"IRIM"}],"categories":[],"keywords":[{"id":"1808","name":"graduate students"},{"id":"81491","name":"Institute for Robotics and Intelligent Machines (IRIM)"},{"id":"667","name":"robotics"},{"id":"167194","name":"seminar series"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78751","name":"Undergraduate students"},{"id":"78761","name":"Faculty\/Staff"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EJosie Giles\u003Cbr \/\u003EIRIM Marketing Communications Mgr.\u003Cbr \/\u003E\u003Ca href=\u0022mailto:josie@gatech.edu\u0022\u003Ejosie@gatech.edu\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}}}