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» The Computational Complexity of Probabilistic Planning
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AIPS
2010
14 years 20 days ago
Cost-Optimal Factored Planning: Promises and Pitfalls
Factored planning methods aim to exploit locality to efficiently solve large but "loosely coupled" planning problems by computing solutions locally and propagating limit...
Eric Fabre, Loig Jezequel, Patrik Haslum, Sylvie T...
ICSOC
2003
Springer
14 years 3 months ago
Planning and Monitoring the Execution of Web Service Requests
Abstract Interaction with web services enabled marketplaces would be greatly facilitated if users were given a high level service request language to express their goals in complex...
Alexander Lazovik, Marco Aiello, Mike P. Papazoglo...
ICRA
2006
IEEE
137views Robotics» more  ICRA 2006»
14 years 4 months ago
Fast C-obstacle Query Computation for Motion Planning
— The configuration space of a robot is partitioned into free space and C-obstacle space. Most of the prior work in collision detection and motion planning algorithms is targete...
Liangjun Zhang, Young J. Kim, Gokul Varadhan, Dine...
IJCINI
2007
110views more  IJCINI 2007»
13 years 10 months ago
Toward Autonomic Computing: Adaptive Neural Network for Trajectory Planning
: The theme of this issue of IJCINI is on cognitive mechanisms of autonomic computing and laws of human cooperative work organization. This editorial addresses key notions of this ...
Amar Ramdane-Cherif
RAS
2006
100views more  RAS 2006»
13 years 10 months ago
Sampling and node adding in probabilistic roadmap planners
The probabilistic roadmap approach is one of the leading motion planning techniques. Over the past decade the technique has been studied by many different researchers. This has le...
Roland Geraerts, Mark H. Overmars