{"145641":{"#nid":"145641","#data":{"type":"event","title":"Robotics and Intelligent Machines Center (RIM) Seminar-Ashutosh Saxena","body":[{"value":"\u003Cp\u003EUnless otherwise noted, all seminars are held in room 1116 in the Marcus Nanotechnology Building from 12-1 p.m.\u0026nbsp;Seminars are open to the public.\u003C\/p\u003E\u003Cp\u003EAshutosh Saxena, Assistant Professor, Microsoft Faculty Fellow, and Alfred P. Sloan Research Fellow\u0026nbsp;in the Department of Computer Science\u0026nbsp;at Cornell University, presents\u0026nbsp;\u003Cem\u003EHow Should a Robot Perceive the World?\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract\u003Cbr \/\u003E\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EIn order for a robot to perform tasks in the human environments, it first needs to figure out \u0022what\u0022 to perceive. While for some robotic tasks (such as an object finding robot) this is relatively straightforward (e.g., infer the object labels from RGB-D data), many other robotic tasks require a robot to be more creative about what to perceive. For example, for a robot to arrange a disorganized room, it would need to perceive the human preferences about the usage of objects as well as the low-level manipulation strategies. In this talk, I will illustrate the issues surrounding \u0022what to perceive\u0022 through a few examples.\u003C\/p\u003E\u003Cp\u003EThe key to figuring out \u0022how\u0022 to perceive lies in being able to model the underlying \u0022structure\u0022 in the problem. I propose that for reasoning about the human environments, it is the humans that are the true underlying structure in the problem. This is not only true for tasks that involve humans explicitly (such as human activity detection), but also true for tasks in which a human was never observed! In this talk, I will present learning algorithms that model such underlying structure in the problem.\u003C\/p\u003E\u003Cp\u003EFinally, using such learned structure, I will present several robotic applications ranging from single-image based aerial vehicle navigation to personal robots performing tasks of unloading items from a dishwasher, loading a fridge, arranging a disorganized room, and performing assistive tasks in response to human activities.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio\u003Cbr \/\u003E\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EAshutosh Saxena is an assistant professor in computer science department at Cornell University. His research interests include machine learning and robotics perception, especially in the domain of personal robotics. He received his MS in 2006 and PhD in 2009 from Stanford University, and his BTech in 2004 from Indian Institute of Technology (IIT), Kanpur. He was a recipient of the National Talent Scholar award in India and the Google Faculty award in 2011. He was also named a Alfred P. Sloan Research Fellow in 2011, and a Microsoft Faculty Fellow in 2012.\u003C\/p\u003E\u003Cp\u003ESaxena has developed Make3D (\u003Ca href=\u0022http:\/\/make3d.cs.cornell.edu\u0022\u003Ehttp:\/\/make3d.cs.cornell.edu\u003C\/a\u003E), an algorithm that converts a single photograph into a 3D model. Tens of thousands of users used this technology to convert their pictures to 3D. He has also developed algorithms that enable robots (such as STAIR, POLAR (\u003Ca href=\u0022http:\/\/pr.cs.cornell.edu\u0022\u003Ehttp:\/\/pr.cs.cornell.edu\u003C\/a\u003E) to perform household chores such as unload items from a dishwasher, place items in a fridge, etc. His work has received substantial amount of attention in popular press, including the front-page of \u003Cem\u003EThe New York Times\u003C\/em\u003E, BBC, ABC, \u003Cem\u003ENew Scientist\u003C\/em\u003E, Discovery Science, and \u003Cem\u003EWired Magazine\u003C\/em\u003E. He has won best paper awards in 3DRR and IEEE ACE, and he was named a co-chair of the IEEE technical committee on robot learning.\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EUnless otherwise noted, all seminars are held in room 1116 in the Marcus Nanotechnology Building from 12-1 p.m.\u0026nbsp;Seminars are open to the public.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"RIM presents its Fall 2012 Seminar Series."}],"uid":"27255","created_gmt":"2012-08-13 00:06:19","changed_gmt":"2016-10-08 01:59:24","author":"Josie Giles","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2012-11-28T11:00:00-05:00","event_time_end":"2012-11-28T12:00:00-05:00","event_time_end_last":"2012-11-28T12:00:00-05:00","gmt_time_start":"2012-11-28 16:00:00","gmt_time_end":"2012-11-28 17:00:00","gmt_time_end_last":"2012-11-28 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"145581":{"id":"145581","type":"image","title":"Ashutosh Saxena","body":null,"created":"1449178751","gmt_created":"2015-12-03 21:39:11","changed":"1475894779","gmt_changed":"2016-10-08 02:46:19","alt":"Ashutosh Saxena","file":{"fid":"195064","name":"ashutosh_saxena.jpg","image_path":"\/sites\/default\/files\/images\/ashutosh_saxena_0.jpg","image_full_path":"http:\/\/www.tlwarc.hg.gatech.edu\/\/sites\/default\/files\/images\/ashutosh_saxena_0.jpg","mime":"image\/jpeg","size":13245,"path_740":"http:\/\/www.tlwarc.hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/ashutosh_saxena_0.jpg?itok=aeR40H4T"}}},"media_ids":["145581"],"related_links":[{"url":"http:\/\/robotics.gatech.edu\/","title":"Center for Robotics \u0026 Intelligent Machines"},{"url":"http:\/\/pr.cs.cornell.edu\/","title":"Ashutosh Saxena"}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"142761","name":"IRIM"}],"categories":[],"keywords":[{"id":"40321","name":"Robotics and Intelligent Machines Center (RIM)"},{"id":"2352","name":"robots"},{"id":"166896","name":"seminar"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EJosie Giles\u003Cbr \/\u003ERIM Communications Officer\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":""}}}