Adopting pedestrian navigation techniques for multi-robot coordination

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Even when walking in complex environments, human beings are able to easily share space and navigate comfortably past each other without explicit communication. Our recent work has sought to build models of this human navigation for the purposes of producing high-quality, cooperative, collision-free motion in multi-agent navigation tasks. We will first describe some recent approaches to modeling pedestrian interaction. Next, we discuss how these models can be adapted to automate mutual collision avoidance in multi-agent environments. Lastly, we briefly discuss some recent applications of these techniques to collaborative analysis of evacuation route planning.

Original languageEnglish (US)
Title of host publication2014 International Conference on Collaboration Technologies and Systems, CTS 2014
PublisherIEEE Computer Society
Pages297-301
Number of pages5
ISBN (Print)9781479951567
DOIs
StatePublished - Jan 1 2014
Externally publishedYes
Event2014 15th International Conference on Collaboration Technologies and Systems, CTS 2014 - Minneapolis, MN, United States
Duration: May 19 2014May 23 2014

Publication series

Name2014 International Conference on Collaboration Technologies and Systems, CTS 2014

Other

Other2014 15th International Conference on Collaboration Technologies and Systems, CTS 2014
Country/TerritoryUnited States
CityMinneapolis, MN
Period5/19/145/23/14

Keywords

  • Cognitive and Psychological Issues in Collaboration
  • Modeling and Simulation of Collaboration
  • Multi-Agent Coordination and Cooperation
  • Virtual Agents Applications

Fingerprint

Dive into the research topics of 'Adopting pedestrian navigation techniques for multi-robot coordination'. Together they form a unique fingerprint.

Cite this