Principles of artificial intelligence
Principles of artificial intelligence
Robot motion planning: a distributed representation approach
International Journal of Robotics Research
Modern heuristic techniques for combinatorial problems
Modern heuristic techniques for combinatorial problems
Operational rationality through compilation of anytime algorithms
Operational rationality through compilation of anytime algorithms
Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
Two manipulation planning algorithms
WAFR Proceedings of the workshop on Algorithmic foundations of robotics
Reinforcement learning with hierarchies of machines
NIPS '97 Proceedings of the 1997 conference on Advances in neural information processing systems 10
Obstacle Avoidance in Multi-Robot Systems: Experiments in Parallel Genetic Algorithms
Obstacle Avoidance in Multi-Robot Systems: Experiments in Parallel Genetic Algorithms
Contingent planning under uncertainty via stochastic satisfiability
Artificial Intelligence - special issue on planning with uncertainty and incomplete information
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A search methodology with goal state optimization considering computational resource constraints is proposed. The combination of ''an extended graph search methodology'' and ''parallelization of task execution and online planning'' makes it possible to solve the problem. The uncertainty of the task execution time is also considered. The problem can be solved by utilizing a random-based and/or a greedy-based graph-searching methodology. The proposed method is evaluated using a rearrangement problem of 20 movable objects with uncertainty in the task execution time, and the effectiveness is shown with simulation results.