Talk
WHAT: Oussama Khatib (Professor of Computer Science, Robotics Laboratory Department of Computer Science, Stanford University): "Human-Centered Robotics"
WHEN:
Wednesday, June 8, 2005, 4:30PM EST
WHERE:
Bartos Theatre, MIT Media Lab (E15)
HOST:
Marko Popovic
Post-Doctoral Associate, Biomechatronics
SUMMARY:
Robotics is rapidly expanding into human environments and vigorously engaged in
its new emerging challenges. Interacting, exploring, and working with humans,
the new generation of robots will increasingly touch people and their lives.
The successful introduction of robots in human environments will rely on the
development of competent and practical systems that are dependable, safe, and
easy to use. To effectively work, interact, and cooperate with humans, these
robots must display abilities and skills that are compatible with those of
humans. This discussion focuses on our ongoing effort to synthesize natural
human movements to produce human-like robot behaviors. The objective is to
unveil the underlying characteristics of human motion through an elaboration of
its physiological basis, and to formulate general strategies for whole-body
robot control. This exploration employs models of human musculoskeletal
dynamics and makes use of extensive experimental studies of human subjects with
motion capture techniques. Our investigation has revealed the dominant role
physiological characteristics play in shaping human motion. This knowledge has
allowed the development of generic motion behaviors that efficiently and
effectively encode human motion behaviors. The implementation of these
behaviors on robots with complex human-like structures relies on a novel
whole-body task-oriented control structure that addresses dynamics in the
context of multiple tasks, multi-point contacts, and multiple constraints. In
this presentation, we will also examine other fundamental issues in
human-centered robotics. These include new design concepts for the development
of safe and human-friendly robotic systems, and efficient algorithms that
address the computational challenges associated with human-like structures in
environments with multiple contacts.
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