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» A Framework For Human-Aware Robot Planning
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ICRA
2009
IEEE
115views Robotics» more  ICRA 2009»
14 years 2 months ago
Multi-robot coordination using generalized social potential fields
Abstract— We present a novel approach to compute collisionfree paths for multiple robots subject to local coordination constraints. More specifically, given a set of robots, the...
Russell Gayle, William Moss, Ming C. Lin, Dinesh M...
ICRA
2010
IEEE
115views Robotics» more  ICRA 2010»
13 years 6 months ago
An optimization approach to rough terrain locomotion
— We present a novel approach to legged locomotion over rough terrain that is thoroughly rooted in optimization. This approach relies on a hierarchy of fast, anytime algorithms t...
Matthew Zucker, James A. Bagnell, Christopher G. A...
IJRR
2011
126views more  IJRR 2011»
13 years 2 months ago
Optimization and learning for rough terrain legged locomotion
We present a novel approach to legged locomotion over rough terrain that is thoroughly rooted in optimization. This approach relies on a hierarchy of fast, anytime algorithms to p...
Matthew Zucker, Nathan D. Ratliff, Martin Stolle, ...
ICRA
2005
IEEE
104views Robotics» more  ICRA 2005»
14 years 1 months ago
Planning and Control of Mobile Robots in Image Space from Overhead Cameras
— In this work, we present a framework for the development of a planar mobile robot controller based on image plane feedback. We show that the design of such a motion controller ...
Rahul Rao, Vijay Kumar, Camillo J. Taylor
RSS
2007
136views Robotics» more  RSS 2007»
13 years 9 months ago
The Stochastic Motion Roadmap: A Sampling Framework for Planning with Markov Motion Uncertainty
— We present a new motion planning framework that explicitly considers uncertainty in robot motion to maximize the probability of avoiding collisions and successfully reaching a ...
Ron Alterovitz, Thierry Siméon, Kenneth Y. ...