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» Curiosity-Driven Exploration with Planning Trajectories
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IJRR
2008
151views more  IJRR 2008»
13 years 5 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
2010
IEEE
142views Robotics» more  ICRA 2010»
13 years 3 months ago
A quadratic regulator-based heuristic for rapidly exploring state space
Abstract— Kinodynamic planning algorithms like RapidlyExploring Randomized Trees (RRTs) hold the promise of finding feasible trajectories for rich dynamical systems with complex...
Elena Leah Glassman, Russ Tedrake
ICRA
2006
IEEE
131views Robotics» more  ICRA 2006»
13 years 11 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
NIPS
1997
13 years 6 months ago
Nonparametric Model-Based Reinforcement Learning
This paper describes some of the interactions of model learning algorithms and planning algorithms we have found in exploring model-based reinforcement learning. The paper focuses...
Christopher G. Atkeson
IROS
2009
IEEE
129views Robotics» more  IROS 2009»
13 years 12 months ago
Planning fireworks trajectories for steerable medical needles to reduce patient trauma
— Accurate needle insertion in 3D environment is always a grand challenge. When multiple targets are located in the tissue, a procedure of inserting multiple needles from a singl...
Jijie Xu, Vincent Duindam, Ron Alterovitz, Jean Po...