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ICRA
2010
IEEE
142views Robotics» more  ICRA 2010»
13 years 3 months ago
Learning and planning high-dimensional physical trajectories via structured Lagrangians
— We consider the problem of finding sufficiently simple models of high-dimensional physical systems that are consistent with observed trajectories, and using these models to s...
Paul Vernaza, Daniel D. Lee, Seung-Joon Yi
IJRR
2008
151views more  IJRR 2008»
13 years 4 months ago
Trajectory Optimization using Reinforcement Learning for Map Exploration
Automatically building maps from sensor data is a necessary and fundamental skill for mobile robots; as a result, considerable research attention has focused on the technical chall...
Thomas Kollar, Nicholas Roy
ICRA
2006
IEEE
131views Robotics» more  ICRA 2006»
13 years 10 months ago
Using Reinforcement Learning to Improve Exploration Trajectories for Error Minimization
Abstract— The mapping and localization problems have received considerable attention in robotics recently. The exploration problem that drives mapping has started to generate sim...
Thomas Kollar, Nicholas Roy
ICRA
2010
IEEE
119views Robotics» more  ICRA 2010»
13 years 3 months ago
Recognition of situation classes at road intersections
— The recognition and prediction of situations is an indispensable skill of future driver assistance systems. This study focuses on the recognition of situations involving two ve...
Eugen Kafer, Christoph Hermes, Christian Wöhl...
IROS
2007
IEEE
168views Robotics» more  IROS 2007»
13 years 10 months ago
Collision detection in legged locomotion using supervised learning
Abstract— We propose a fast approach for detecting collisionfree swing-foot trajectories for legged locomotion over extreme terrains. Instead of simulating the swing trajectories...
Finale Doshi, Emma Brunskill, Alexander C. Shkolni...