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4:00pm, Adamson Wing, Baker Hall
While general solutions to robotics problems remains a long term goal, it is no secret that judicious exploitation of the constraints of particular environments and applications leads to much improved performance in real-world problems.
Furthermore, it is often the case that problems which seem insurmountable at the subsystem level are mitigated or even eliminated at the system level when provided with a consistent real-world context.
In this talk, I will discuss my work in autonomous outdoor mobility and factory automation from the perspective that what was initially thought to be difficult - wasn't. In particular:
He joined the RI Ph.D. program in 1990 concentrating on outdoor mobile robotics on the DARPA UGV program, also spending time at JPL working in stereo vision and terrain classification. He recieved his Ph.D. from, and joined the Robotics Institute in 1995.
He is currently a Project Scientist at the Robotics Institute where he works on the Ford forktruck automation program at the Robotics Engineering Consortium and the TUGV HMMWV automation program at the Field Robotics Center.
His research interests include perception, planning, control, position estimation and human interfaces for mobile robots. He is particularly interested in sensors and algorithms for mapping, obstacle avoidance, object recognition, and pose refinement because these perceptual capabilities can create useful mobile robots with today's technology.
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