[Allusers] PALESTRA--Range Vision for Autonomous Robotic Grasping of Free-Flying Satellites

[helder]

Venho convidar-vos a assistir à seguinte palestra:

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Range Vision for Autonomous Robotic
Grasping of Free-Flying Satellites

  Quarta-feira, 20/02 às 15:30, Anfiteatro do ISR
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In this talk, I will review the progress that my students and I
have made since 2001 in the field of range image vision. The
motivation of our research has been the automatic robotic
grasping of free-flying satellites. This application is particularly
challenging due to the sparseness of the data that is acquired by
space-qualified range vision sensors, which may comprise only
thousands or hundreds of points per frame. I will present four
model-based algorithms for tracking, pose determination,
and object recognition in range data. I will also describe our
efforts to develop an integrated high frame
rate stereovision sensor.

Biography:

Michael Greenspan is an Associate Professor with the Department
of Electrical and Computer Engineering and the School of Computing
at Queen's University, Kingston, Canada. His research interests
include pose determination, object recognition, and tracking
(especially using range data), and robotic gaming systems.
Michael was the recipient of the Canadian Image Processing
and Pattern Recognition 2003 Young Investigators Award, and
the Premier's Research Excellence Award. He is currently
on sabbatical with the Institute of Systems and Robotics at
the University of Coimbra.




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