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Description
  • Avoiding collisions is one of the vital tasks for systems of au- tonomous mobile agents. We focus on the problem of find- ing continuous coordinated paths for multiple mobile disc agents in a 2-d environment with polygonal obstacles. The problem is PSPACE-hard, with the state space growing ex- ponentially in the number of agents. Therefore, the state of the art methods include mainly reactive techniques and sampling-based iterative algorithms. We compare the performance of a widely-used reactive method ORCA with three variants of a popular planning algorithm RRT* applied to multi-agent path planning and find that an algorithm combining reactive collision avoid- ance and RRT* planning, which we call ORCA-RRT* can be used to solve instances that are out of the reach of ei- ther of the techniques. We experimentally show that: 1) the reactive part of the algorithm can efficiently solve many multi-agent path finding problems involving large number of agents, for which RRT* algorithm is often unable to find a solution in limited time and 2) the planning component of the algorithm is able to solve many instances containing local minima, where reactive techniques typically fail.
  • Avoiding collisions is one of the vital tasks for systems of au- tonomous mobile agents. We focus on the problem of find- ing continuous coordinated paths for multiple mobile disc agents in a 2-d environment with polygonal obstacles. The problem is PSPACE-hard, with the state space growing ex- ponentially in the number of agents. Therefore, the state of the art methods include mainly reactive techniques and sampling-based iterative algorithms. We compare the performance of a widely-used reactive method ORCA with three variants of a popular planning algorithm RRT* applied to multi-agent path planning and find that an algorithm combining reactive collision avoid- ance and RRT* planning, which we call ORCA-RRT* can be used to solve instances that are out of the reach of ei- ther of the techniques. We experimentally show that: 1) the reactive part of the algorithm can efficiently solve many multi-agent path finding problems involving large number of agents, for which RRT* algorithm is often unable to find a solution in limited time and 2) the planning component of the algorithm is able to solve many instances containing local minima, where reactive techniques typically fail. (en)
Title
  • Finding Coordinated Paths for Multiple Holonomic Agents in 2-D Polygonal Environment
  • Finding Coordinated Paths for Multiple Holonomic Agents in 2-D Polygonal Environment (en)
skos:prefLabel
  • Finding Coordinated Paths for Multiple Holonomic Agents in 2-D Polygonal Environment
  • Finding Coordinated Paths for Multiple Holonomic Agents in 2-D Polygonal Environment (en)
skos:notation
  • RIV/68407700:21230/14:00217978!RIV15-MSM-21230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(LD12044)
http://linked.open...vai/riv/dodaniDat
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  • 16854
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  • RIV/68407700:21230/14:00217978
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  • Path finding problem; multi-agent solver; planning; reactive technique (en)
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http://linked.open...ontrolniKodProRIV
  • [6CE7B898A6D3]
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  • Paris
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  • County of Richland
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  • Proceedings of the 13th International Conference on Autonomous Agents and Multiagent Systems
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http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Vokřínek, Jiří
  • Čáp, Michal
  • Janovský, Pavel
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http://linked.open.../riv/zahajeniAkce
number of pages
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  • IFAAMAS
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  • 978-1-4503-2738-1
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  • 21230
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