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ICRA
2005
IEEE
135views Robotics» more  ICRA 2005»
13 years 11 months ago
Sampling-Based Motion Planning Using Predictive Models
— Robotic motion planning requires configuration space exploration. In high-dimensional configuration spaces, a complete exploration is computationally intractable. Practical m...
Brendan Burns, Oliver Brock
ICRA
2010
IEEE
123views Robotics» more  ICRA 2010»
13 years 4 months ago
Robotic motion planning in dynamic, cluttered, uncertain environments
— This paper presents a strategy for planning robot motions in dynamic, cluttered, and uncertain environments. Successful and efficient operation in such environments requires r...
Noel E. Du Toit, Joel W. Burdick
RSS
2007
176views Robotics» more  RSS 2007»
13 years 7 months ago
Active Policy Learning for Robot Planning and Exploration under Uncertainty
Abstract— This paper proposes a simulation-based active policy learning algorithm for finite-horizon, partially-observed sequential decision processes. The algorithm is tested i...
Ruben Martinez-Cantin, Nando de Freitas, Arnaud Do...
ICRA
2007
IEEE
134views Robotics» more  ICRA 2007»
14 years 14 days ago
Grasping POMDPs
Abstract— We provide a method for planning under uncertainty for robotic manipulation by partitioning the configuration space into a set of regions that are closed under complia...
Kaijen Hsiao, Leslie Pack Kaelbling, Tomás ...
ICRA
2007
IEEE
125views Robotics» more  ICRA 2007»
14 years 14 days ago
Single-Query Motion Planning with Utility-Guided Random Trees
— Randomly expanding trees are very effective in exploring high-dimensional spaces. Consequently, they are a powerful algorithmic approach to sampling-based single-query motion p...
Brendan Burns, Oliver Brock