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» Planning as Satisfiability
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135
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IROS
2009
IEEE
137views Robotics» more  IROS 2009»
15 years 10 months ago
A framework for planning comfortable and customizable motion of an assistive mobile robot
Abstract— Assistive mobile robots that can navigate autonomously can greatly benefit people with mobility impairments. Since an assistive mobile robot transports a human user fr...
Shilpa Gulati, Chetan Jhurani, Benjamin Kuipers, R...
156
Voted
ICDCS
2010
IEEE
15 years 7 months ago
New Algorithms for Planning Bulk Transfer via Internet and Shipping Networks
—Cloud computing is enabling groups of academic collaborators, groups of business partners, etc., to come together in an ad-hoc manner. This paper focuses on the group-based data...
Brian Cho, Indranil Gupta
131
Voted
ECAI
2006
Springer
15 years 5 months ago
Solving Optimization Problems with DLL
Propositional satisfiability (SAT) is a success story in Computer Science and Artificial Intelligence: SAT solvers are currently used to solve problems in many different applicati...
Enrico Giunchiglia, Marco Maratea
134
Voted
ATAL
2009
Springer
15 years 10 months ago
Lossless clustering of histories in decentralized POMDPs
Decentralized partially observable Markov decision processes (Dec-POMDPs) constitute a generic and expressive framework for multiagent planning under uncertainty. However, plannin...
Frans A. Oliehoek, Shimon Whiteson, Matthijs T. J....
134
Voted
FSR
2007
Springer
135views Robotics» more  FSR 2007»
15 years 10 months ago
State Space Sampling of Feasible Motions for High Performance Mobile Robot Navigation in Highly Constrained Environments
Sampling in the space of controls or actions is a well-established method for ensuring feasible local motion plans. However, as mobile robots advance in performance and competence ...
Thomas M. Howard, Colin J. Green, Alonzo Kelly