PERCEPTION AND CONTROL FOR AUTONOMOUS FLYING ROBOTS

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This talk we will describe the work we have done at Penn on developing high performance, vision guided, flying robots that are capable of operating autonomously in GPS denied indoor and outdoor environments. We will describe some of the core perception and planning problems that are associated with these kinds of robotic platforms and discuss the hardware systems and algorithms that we developed to achieve the required levels of autonomy on our smaller scale flying robots.



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  • Philadelphia, Pennsylvania
  • United States

Staticmap?size=250x200&sensor=false&zoom=14&markers=39.9527237%2c 75
  • Co-sponsored by Grasp Lab, University of Pennsylvania
  • Starts 30 September 2020 06:00 AM
  • Ends 03 November 2020 04:00 PM
  • All times are America/New_York
  • No Admission Charge


  Speakers

CJ Taylor
CJ Taylor of COMPUTER AND INFORMATION SCIENCE DEPARTMENT, GRASP LAB, UNIVERSITY OF PENNSYLVANIA

Topic:

PERCEPTION AND CONTROL FOR AUTONOMOUS FLYING ROBOTS

This talk we will describe the work we have done at Penn on developing high performance, vision guided, flying robots that are capable of operating autonomously in GPS denied indoor and outdoor environments. We will describe some of the core perception and planning problems that are associated with these kinds of robotic platforms and discuss the hardware systems and algorithms that we developed to achieve the required levels of autonomy on our smaller scale flying robots.

Biography:

Dr. Taylor received his A.B. degree in Electrical Computer and Systems Engineering from Harvard College in 1988 and his M.S. and Ph.D. degrees from Yale University in 1990 and 1994 respectively. Dr. Taylor was the Jamaica Scholar in 1984, a member of the Harvard chapter of Phi Beta Kappa and held a Harvard College Scholarship from 1986-1988. From 1994 to 1997 Dr. Taylor was a postdoctoral researcher and lecturer with the Department of Electrical Engineering and Computer Science at the University of California, Berkeley. He joined the faculty of the Computer and Information Science Department at the University of Pennsylvania in September 1997. He received an NSF CAREER award in 1998 and the Lindback Minority Junior Faculty Award in 2001. In 2012 he received a best paper award at the IEEE Workshop on the Applications of Computer Vision. Dr Taylor's research interests lie primarily in the fields of Computer Vision and Robotics and include: reconstruction of 3D models from images, vision-guided robot navigation and scene understanding. Dr. Taylor has served as an Associate Editor of the IEEE Transactions of Pattern Analysis and Machine Intelligence. He has also served on numerous conference organizing committees he is a General Chair of the International Conference on Computer Vision (ICCV) 2021 and was a Program Chair of the 2006 and 2017 editions of the IEEE Conference on Computer Vision and Pattern Recognition and of the 2013 edition of 3DV. In 2012 he was awarded the Christian R. and Mary F. Lindback Foundation Award for Distinguished Teaching at the University of Pennsylvania

Email:

Address:474 Levine Hall (GRW), 3330 Walnut Street, Philadelphia, Pennsylvania, United States, 19104-6389