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» Inferring State Constraints for Domain-Independent Planning
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AAAI
1998
13 years 6 months ago
Inferring State Constraints for Domain-Independent Planning
Wedescribe somenewpreprocessing techniques that enable faster domain-independentplanning. Thefirst set of techniquesis aimedat inferring state constraints from the structure of pl...
Alfonso Gerevini, Lenhart K. Schubert
AIPS
2000
13 years 6 months ago
Exploiting State Constraints in Heuristic State-Space Planning
In the last years, some very promising domain independent heuristic state-space planners for STRIPS worlds, like ASP/HSP, HSPr and GRT, have been presented. These planners achieve...
Ioannis Refanidis, Ioannis P. Vlahavas
IROS
2007
IEEE
125views Robotics» more  IROS 2007»
13 years 11 months ago
Probabilistic inference for structured planning in robotics
Abstract— Real-world robotic environments are highly structured. The scalability of planning and reasoning methods to cope with complex problems in such environments crucially de...
Marc Toussaint, Christian Goerick
AAMAS
2008
Springer
13 years 4 months ago
DARE: a system for distributed abductive reasoning
Abductive reasoning is a well established field of Artificial Intelligence widely applied to different problem domains not least cognitive robotics and planning. It has been used ...
Jiefei Ma, Alessandra Russo, Krysia Broda, Keith C...
CRV
2011
IEEE
352views Robotics» more  CRV 2011»
12 years 4 months ago
Conformative Filter: A Probabilistic Framework for Localization in Reduced Space
— Algorithmic problem reduction is a fundamental approach to problem solving in many fields, including robotics. To solve a problem using this scheme, we must reduce the problem...
Chatavut Viriyasuthee, Gregory Dudek