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September 25, 2008

Mtg: Learning for Quadruped Robots

by @ 7:35 am. Filed under ALL, Communications, Computers/Software, Electronics Design, Optics/Displays, Semiconductors
 

WEDNESDAY October 1, 2008
SCV Robotics and Automation Chapter
Speaker: J. Zico Kolter, Stanford University
Time: Presentation at 7:00 PM
Cost: none
Place:Carnegie-Mellon University, Silicon Valley campus, Moffet Field
RSVP: Not required
Web: ewh.ieee.org/r6/scv/ras

Legged robots offer the potential to navigate a much wider range of terrain than their wheeled counterparts, allowing for robotic applications in places where they are currently not possible.? ? However, legged robots currently lag far behind their biological cousins in terms of their ability to navigate challenging terrain.? In this talk we discuss the application of machine learning techniques to achieve state-of-the-art performance for quadruped locomotion over rough terrain.

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