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» HTN Planning: Complexity and Expressivity
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ICRA
2005
IEEE
135views Robotics» more  ICRA 2005»
14 years 1 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
2007
IEEE
138views Robotics» more  ICRA 2007»
14 years 1 months ago
Where's Waldo? Sensor-Based Temporal Logic Motion Planning
— Given a robot model and a class of admissible environments, this paper provides a framework for automatically and verifiably composing controllers that satisfy high level task...
Hadas Kress-Gazit, Georgios E. Fainekos, George J....
FCS
2007
13 years 8 months ago
Coordinating Planning Agents for Moderately and Tightly-Coupled Tasks
In many task-planning domains, dynamic assemblies of autonomous agents are replacing hierarchical organisations because they promise more agility. In such assemblies, interdepende...
J. Renze Steenhuisen, Cees Witteveen
CI
2005
106views more  CI 2005»
13 years 7 months ago
Incremental Learning of Procedural Planning Knowledge in Challenging Environments
Autonomous agents that learn about their environment can be divided into two broad classes. One class of existing learners, reinforcement learners, typically employ weak learning ...
Douglas J. Pearson, John E. Laird
AIPS
1996
13 years 8 months ago
Modeling Probabilistic Actions for Practical Decision-Theoretic Planning
Mostexisting decision-theoretic planners represent uncertainty about the state of the world with a precisely specified probability distribution over world states. This representat...
AnHai Doan