A framework for reactive motion and sensing planning: A critical events-based approach

R. Murrieta-Cid, A. Sarmiento, T. Muppirala, S. Hutchinson, R. Monroy, M. Alencastre, L. Muñoz, R. Swain

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

Abstract

We propose a framework for reactive motion and sensing planning based on critical events. A critical event amounts to crossing a critical curve, which divides the environment. We have applied our approach to two different problems: i) object finding and ii) pursuit-evasion. We claim that the proposed framework is in general useful for reactive motion planning based on information provided by sensors. We generalize and formalize the approach and suggest other possible applications.

Original languageEnglish (US)
Title of host publicationMICAI 2005
Subtitle of host publicationAdvances in Artificial Intelligence - 4th Mexican International Conference on Artificial Intelligence, Proceedings
Pages990-1000
Number of pages11
DOIs
StatePublished - 2005
Event4th Mexican International Conference on Artificial Intelligence, MICAI 2005 - Monterrey, Mexico
Duration: Nov 14 2005Nov 18 2005

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3789 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other4th Mexican International Conference on Artificial Intelligence, MICAI 2005
Country/TerritoryMexico
CityMonterrey
Period11/14/0511/18/05

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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