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» Anytime, Dynamic Planning in High-dimensional Search Spaces
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IROS
2006
IEEE
166views Robotics» more  IROS 2006»
13 years 11 months ago
Anytime RRTs
— We present an anytime algorithm for planning paths through high-dimensional, non-uniform cost search spaces. Our approach works by generating a series of Rapidly-exploring Rand...
Dave Ferguson, Anthony Stentz
ICRA
2006
IEEE
183views Robotics» more  ICRA 2006»
13 years 11 months ago
Anytime Dynamic Path-planning with Flexible Probabilistic Roadmaps
Abstract— Probabilistic roadmaps (PRM) have been demonstrated to be very promising for planning paths for robots with high degrees of freedom in complex 3D workspaces. In this pa...
Khaled Belghith, Froduald Kabanza, Leo Hartman, Ro...
IJHR
2008
155views more  IJHR 2008»
13 years 5 months ago
The Challenge of Motion Planning for Soccer Playing Humanoid Robots
Motion planning for humanoids faces several challenging issues: high dimensionality of the configuration space, necessity to address balance constraints in single and double suppo...
Stefano Carpin, Marcelo Kallmann, Enrico Pagello
NIPS
1993
13 years 6 months ago
The Parti-Game Algorithm for Variable Resolution Reinforcement Learning in Multidimensional State-Spaces
Parti-game is a new algorithm for learning feasible trajectories to goal regions in high dimensionalcontinuousstate-spaces. In high dimensions it is essential that learningdoes not...
Andrew W. Moore
AIPS
2008
13 years 7 months ago
Exact Dynamic Programming for Decentralized POMDPs with Lossless Policy Compression
High dimensionality of belief space in DEC-POMDPs is one of the major causes that makes the optimal joint policy computation intractable. The belief state for a given agent is a p...
Abdeslam Boularias, Brahim Chaib-draa