A sampling-based approach to probabilistic pursuit evasion

Aditya Mahadevan, Nancy Marie Amato

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

Abstract

Probabilistic roadmaps (PRMs) are a sampling-based approach to motion-planning that encodes feasible paths through the environment using a graph created from a subset of valid positions. Prior research has shown that PRMs can be augmented with useful information to model interesting scenarios related to multi-agent interaction and coordination.

Original languageEnglish (US)
Title of host publication2012 IEEE International Conference on Robotics and Automation, ICRA 2012
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3192-3199
Number of pages8
ISBN (Print)9781467314039
DOIs
StatePublished - Jan 1 2012
Externally publishedYes
Event 2012 IEEE International Conference on Robotics and Automation, ICRA 2012 - Saint Paul, MN, United States
Duration: May 14 2012May 18 2012

Publication series

NameProceedings - IEEE International Conference on Robotics and Automation
ISSN (Print)1050-4729

Other

Other 2012 IEEE International Conference on Robotics and Automation, ICRA 2012
CountryUnited States
CitySaint Paul, MN
Period5/14/125/18/12

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Artificial Intelligence
  • Electrical and Electronic Engineering

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  • Cite this

    Mahadevan, A., & Amato, N. M. (2012). A sampling-based approach to probabilistic pursuit evasion. In 2012 IEEE International Conference on Robotics and Automation, ICRA 2012 (pp. 3192-3199). [6225217] (Proceedings - IEEE International Conference on Robotics and Automation). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICRA.2012.6225217