Bio-inspired motion planning algorithms for autonomous robots facilitating greater plasticity for security applications

Guo Yi, Myron Hohil, Sachi V. Desai

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

Abstract

Proposed are techniques toward using collaborative robots for infrastructure security applications by utilizing them for mobile sensor suites. A vast number of critical facilities/technologies must be protected against unauthorized intruders. Employing a team of mobile robots working cooperatively can alleviate valuable human resources. Addressed are the technical challenges for multi-robot teams in security applications and the implementation of multi-robot motion planning algorithm based on the patrolling and threat response scenario. A neural network based methodology is exploited to plan a patrolling path with complete coverage. Also described is a proof-of-principle experimental setup with a group of Pioneer 3-AT and Centibot robots. A block diagram of the system integration of sensing and planning will illustrate the robot to robot interaction to operate as a collaborative unit. The proposed approach singular goal is to overcome the limits of previous approaches of robots in security applications and enabling systems to be deployed for autonomous operation in an unaltered environment providing access to an all encompassing sensor suite.

Original languageEnglish
Title of host publicationUnmanned/Unattended Sensors and Sensor Networks IV
DOIs
StatePublished - 2007
EventUnmanned/Unattended Sensors and Sensor Networks IV - Florence, Italy
Duration: 18 Sep 200720 Sep 2007

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume6736
ISSN (Print)0277-786X

Conference

ConferenceUnmanned/Unattended Sensors and Sensor Networks IV
Country/TerritoryItaly
CityFlorence
Period18/09/0720/09/07

Keywords

  • Collaborative robots
  • Dynamic environment
  • Motion planning
  • Neural networks

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