Lazy auctions for multi-robot collision avoidance and motion control under uncertainty

We present an auction-flavored multi-robot planning mechanism where coordination is to be achieved on the occupation of atomic resources modeled as binary inter-robot constraints. Introducing virtual obstacles, we show how this approach can be combined with particle-based obstacle avoidance methods,...

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Published inProceedings of the 10th international conference on Advanced Agent Technology pp. 295 - 312
Main Authors Calliess, Jan-P., Lyons, Daniel, Hanebeck, Uwe D.
Format Conference Proceeding
LanguageEnglish
Published Berlin, Heidelberg Springer-Verlag 02.05.2011
SeriesACM Conferences
Online AccessGet full text
ISBN9783642272158
3642272150
DOI10.1007/978-3-642-27216-5_21

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Abstract We present an auction-flavored multi-robot planning mechanism where coordination is to be achieved on the occupation of atomic resources modeled as binary inter-robot constraints. Introducing virtual obstacles, we show how this approach can be combined with particle-based obstacle avoidance methods, offering a decentralized, auction-based alternative to previously established centralized approaches for multi-robot open-loop control. We illustrate the effectiveness of our new approach by presenting simulations of typical spatially-continuous multi-robot path-planning problems and derive bounds on the collision probability in the presence of uncertainty.
AbstractList We present an auction-flavored multi-robot planning mechanism where coordination is to be achieved on the occupation of atomic resources modeled as binary inter-robot constraints. Introducing virtual obstacles, we show how this approach can be combined with particle-based obstacle avoidance methods, offering a decentralized, auction-based alternative to previously established centralized approaches for multi-robot open-loop control. We illustrate the effectiveness of our new approach by presenting simulations of typical spatially-continuous multi-robot path-planning problems and derive bounds on the collision probability in the presence of uncertainty.
Author Calliess, Jan-P.
Lyons, Daniel
Hanebeck, Uwe D.
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  organization: Intelligent Sensor-Actuator-Systems Lab, Karlsruhe Institute of Technology, Karlsruhe, Germany
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  givenname: Uwe D.
  surname: Hanebeck
  fullname: Hanebeck, Uwe D.
  organization: Intelligent Sensor-Actuator-Systems Lab, Karlsruhe Institute of Technology, Karlsruhe, Germany
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Editor Weyns, Danny
Hattori, Hiromitsu
Dechesne, Francien
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Such, Jose Miguel
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