Pushing the Boundaries of Asymptotic Optimality in Integrated Task and Motion Planning

DOI10.1007/978-3-030-66723-8_28zbMath1469.68136arXiv1903.01006OpenAlexW3195008896MaRDI QIDQ3381997

Rahul Shome, Kostas E. Bekris, Daniel Nakhimovich

Publication date: 20 September 2021

Published in: Algorithmic Foundations of Robotics XIV (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1903.01006

Mathematics Subject Classification ID

Computer graphics; computational geometry (digital and algorithmic aspects) (68U05) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20) Artificial intelligence for robotics (68T40)

Cites Work

• On Poincaré cone property
• Incremental Sampling-Based Algorithms for a Class of Pursuit-Evasion Games
• Multi-modal Motion Planning in Non-expansive Spaces
• Random Geometric Graphs

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