Abstract

This talk will define and motivate the problem of robotic vision, the challenges as well as recent progress at the Australian Centre for Robotic Vision. This includes component technologies such as novel cameras, deep learning for computer vision, transfer learning for manipulation, evaluation methodologies, and also end-to-end systems for applications such as logistics, agriculture, environmental remediation and asset inspection.

Bio

Peter Corke is a distinguished professor of robotic vision at Queensland University of Technology and director of the ARC Centre of Excellence for Robotic Vision.

His research is concerned with enabling robots to see and the application of robots to mining, agriculture, and environmental monitoring. He is a fellow of the Australian Academy of Technology and Engineering, a fellow of the IEEE, former editor-in-chief of the IEEE Robotics & Automation magazine, founding and associate editor of the Journal of Field Robotics, founding multimedia editor and executive editorial board member of the International Journal of Robotics Research, member of the editorial advisory board of the Springer Tracts on Advanced Robotics series, recipient of the Qantas/Rolls-Royce and Australian Engineering Excellence awards, and has held visiting positions at Oxford, University of Illinois, Carnegie-Mellon University and the University of Pennsylvania.  

He created the Robotics Toolbox for MATLAB, which has been used for teaching globally for more than 20 years, wrote the best selling textbook Robotics, Vision & Control, created a number of MOOCs, and has won national and international recognition for teaching. Corke received his undergraduate and Master’s degrees in electrical engineering and a Ph.D. from the University of Melbourne.