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

Yi Guo; Myron Hohil; Sachi V. Desai

doi:10.1117/12.738196

5 October 2007 Bio-inspired motion planning algorithms for autonomous robots facilitating greater plasticity for security applications

Yi Guo, Myron Hohil, Sachi V. Desai

Author Affiliations +

Proceedings Volume 6736, Unmanned/Unattended Sensors and Sensor Networks IV; 673608 (2007) https://doi.org/10.1117/12.738196
Event: Optics/Photonics in Security and Defence, 2007, Florence, Italy

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.

Citation Download Citation

Yi Guo, Myron Hohil, and Sachi V. Desai "Bio-inspired motion planning algorithms for autonomous robots facilitating greater plasticity for security applications", Proc. SPIE 6736, Unmanned/Unattended Sensors and Sensor Networks IV, 673608 (5 October 2007); https://doi.org/10.1117/12.738196

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