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Home / Proceedings / Proceedings of the International Conference on Automated Planning and Scheduling, 27 / Book One

Heuristic Search on Graphs with Existence Priors for Expensive-to-Evaluate Edges

February 1, 2023

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Authors

Venkatraman Narayanan,Maxim Likhachev

Carnegie Mellon University,Carnegie Mellon University


DOI:

10.1609/icaps.v27i1.13860


Abstract:

We address the problem of finding shortest paths in graphs where some edges have a prior probability of existence, and their existence can be verified during planning with time- consuming operations. Our work is motivated by real-world robot motion planning, where edge existence is often expensive to verify (typically involves time-consuming collision-checking between the robot and world models), but edge existence probabilities are readily available. The goal then, is to develop an anytime algorithm that can return good solutions quickly by somehow leveraging the existence probabilities, and continue to return better-quality solutions or provide tighter suboptimality bounds with more time. While our motivation is fast and high-quality motion planning for robots, this work presents two fundamental contributions applicable to generic graphs with probabilistic edges. They are: a) an algorithm for efficiently computing all relevant shortest paths in a graph with probabilistic edges, and as a by-product the expected shortest path cost, and b) an anytime algorithm for evaluating (verifying existence of) edges in a collection of paths, which is optimal in expectation under a chosen distribution of the algorithm interruption time. Finally, we provide a practical approach to integrate a) and b) in the context of robot motion planning and demonstrate significant improvements in success rate and planning time for a 11 degree-of-freedom mobile manipulation planning problem. We also conduct additional evaluations on a 2D grid navigation domain to study our algorithm’s behavior.

Topics: ICAPS

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HOW TO CITE:

Venkatraman Narayanan,Maxim Likhachev Heuristic Search on Graphs with Existence Priors for Expensive-to-Evaluate Edges Proceedings of the International Conference on Automated Planning and Scheduling, 27 (2017) 522-530.

Venkatraman Narayanan,Maxim Likhachev Heuristic Search on Graphs with Existence Priors for Expensive-to-Evaluate Edges ICAPS 2017, 522-530.

Venkatraman Narayanan,Maxim Likhachev (2017). Heuristic Search on Graphs with Existence Priors for Expensive-to-Evaluate Edges. Proceedings of the International Conference on Automated Planning and Scheduling, 27, 522-530.

Venkatraman Narayanan,Maxim Likhachev. Heuristic Search on Graphs with Existence Priors for Expensive-to-Evaluate Edges. Proceedings of the International Conference on Automated Planning and Scheduling, 27 2017 p.522-530.

Venkatraman Narayanan,Maxim Likhachev. 2017. Heuristic Search on Graphs with Existence Priors for Expensive-to-Evaluate Edges. "Proceedings of the International Conference on Automated Planning and Scheduling, 27". 522-530.

Venkatraman Narayanan,Maxim Likhachev. (2017) "Heuristic Search on Graphs with Existence Priors for Expensive-to-Evaluate Edges", Proceedings of the International Conference on Automated Planning and Scheduling, 27, p.522-530

Venkatraman Narayanan,Maxim Likhachev, "Heuristic Search on Graphs with Existence Priors for Expensive-to-Evaluate Edges", ICAPS, p.522-530, 2017.

Venkatraman Narayanan,Maxim Likhachev. "Heuristic Search on Graphs with Existence Priors for Expensive-to-Evaluate Edges". Proceedings of the International Conference on Automated Planning and Scheduling, 27, 2017, p.522-530.

Venkatraman Narayanan,Maxim Likhachev. "Heuristic Search on Graphs with Existence Priors for Expensive-to-Evaluate Edges". Proceedings of the International Conference on Automated Planning and Scheduling, 27, (2017): 522-530.

Venkatraman Narayanan,Maxim Likhachev. Heuristic Search on Graphs with Existence Priors for Expensive-to-Evaluate Edges. ICAPS[Internet]. 2017[cited 2023]; 522-530.


ISSN: 2334-0843


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