ODrM* optimal multirobot path planning in low dimensional search spaces

C. Ferner, G. Wagner, H. Choset

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We believe the core of handling the complexity of coordinated multiagent search lies in identifying which subsets of robots can be safely decoupled, and hence planned for in a lower dimensional space. Our work, as well as those of others take that perspective. In our prior work, we introduced an approach called subdimensional expansion for constructing low-dimensional but sufficient search spaces for multirobot path planning, and an implementation for graph search called M*. Subdimensional expansion dynamically increases the dimensionality of the search space in regions featuring significant robot-robot interactions. In this paper, we integrate M* with Meta-Agent Constraint-Based Search (MA-CBS), a planning framework that seeks to couple repeatedly colliding robots allowing for other robots to be planned in low-dimensional search space. M* is also integrated with operator decomposition (OD), an A*-variant performing lazy search of the outneighbors of a given vertex. We show that the combined algorithm demonstrates state of the art performance. © 2013 IEEE.
Original languageEnglish
Title of host publication2013 IEEE International Conference on Robotics and Automation
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3854-3859
Number of pages6
ISBN (Electronic)978-1-4673-5643-5
ISBN (Print)978-1-4673-5641-1
DOIs
Publication statusPublished - 2013
Event2013 IEEE International Conference on Robotics and Automation, ICRA 2013 - Karlsruhe, Germany
Duration: 6 May 201310 May 2013
https://www.icra2013.org/index.html

Conference

Conference2013 IEEE International Conference on Robotics and Automation, ICRA 2013
Abbreviated titleICRA 2013
Country/TerritoryGermany
CityKarlsruhe
Period6/05/1310/05/13
Internet address

Keywords

  • Combined algorithms
  • Constraint-based
  • Dimensional spaces
  • Low dimensional
  • Multi-robot path planning
  • Operator decomposition
  • Planning framework
  • State-of-the-art performance
  • Industrial robots
  • Motion planning
  • Multi agent systems
  • Robotics
  • Robot programming

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