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Searching for "Lifelong Planning A." – sorted by Relevance.

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7 documents found, showing 1 through 7.

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Incremental heuristic search in artificial intelligence
by Sven Koenig, Maxim Likhachev, Yaxin Liu, David Furcy — Artificial Intelligence Magazine
…, focusing on Lifelong Planning A*, and outline some of its possible applications in artificial intelligence…
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Incremental Replanning for Mapping
by Maxim Likhachev, Sven Koenig — 2002 — in Proceedings of the International Conference on Intelligent Robots and Systems
… heuristic search method D* Lite, that combines ideas from Lifelong Planning A* and Focussed D*, to mapping…
Cited by 3 (1 self) – Add To MetaCart

Incremental A*
by S. Koenig, M. Likhachev — 2002 — In Proceedings of the Neural Information Processing Systems
…, we develop an incremental version of A*. The first search of Lifelong Planning A* is the same…
Cited by 29 (14 self) – Add To MetaCart

Improved fast replanning for robot navigation in unknown terrain
by Sven Koenig, Maxim Likhachev — 2002 — in Proceedings of the International Conference on Robotics and Automation
… extended by other researchers. Building on our Lifelong Planning A* method [KL01a], we therefore present D…
Cited by 40 (6 self) – Add To MetaCart

Search-based Planning for Large Dynamic Environments
by Maxim Likhachev, Manuel Blum — 2005 — Carnegie Mellon University
… . . . . . . . . . . . . . . . . . . . . . . . . . . . 72 3.5 Proofs for Lifelong Planning A* . . . . . . . . . . . . . . . . . 85 3.5.1 Pseudocode…
Cited by 4 (3 self) – Add To MetaCart

Kinodynamic Motion Planning on Roadmaps in Dynamic Environments
by Jur Berg, Mark Overmars
… to Lifelong Planning A* [11]. This method was developed for navigation in unknown terrain, but we adapted…
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Speeding up the Parti-Game Algorithm
by Maxim Likhachev School, Maxim Likhachev, Sven Koenig — 2002 — Obermayer (Eds.), Advances in Neural Information Processing Systems 15
… in high-dimensional domains. 1 Introduction We recently developed Lifelong Planning A* (LPA*), a search…
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Showing 1 through 7.

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