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Novel Bioinspired Approach Based on Chaotic Dynamics for Robot Patrolling Missions with Adversaries.

Daniel-Ioan Curiac1, Ovidiu Banias1, Constantin Volosencu1

  • 1Automation and Applied Informatics Department, Politehnica University of Timisoara, 300223 Timisoara, Romania.

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Summary

This study introduces a bioinspired method for mobile robots, mimicking prey

Keywords:
Arnold’s cat mapadversarial patrollingchaotic dynamicsmobile robotpositional entropyprotean behavior

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Area of Science:

  • Robotics
  • Bio-inspired Engineering
  • Artificial Intelligence

Background:

  • Living organisms utilize positional entropy for defense.
  • Protean behavior, characterized by unpredictable movements, is a key anti-predator strategy.
  • This behavior can inform robotic defense mechanisms against adversaries.

Purpose of the Study:

  • To implement protean behavior in patrolling robots.
  • To enhance robot survivability by disrupting adversary targeting.
  • To develop a bioinspired method for unpredictable robot path planning.

Main Methods:

  • Utilizing the chaotic dynamics of the 2D Arnold's cat map for positional entropy.
  • Applying kinematic relative motion to transfer entropy to robot path segments.
  • Simulating the method in realistic scenarios with adversarial presence.

Main Results:

  • Demonstrated effective implementation of protean behavior in robots.
  • Showcased reduction in adversary targeting opportunities.
  • Validated the method's efficacy through extensive simulations.

Conclusions:

  • The bioinspired protean behavior method enhances robot defense against adversaries.
  • Chaotic dynamics and kinematic principles can be leveraged for unpredictable robot navigation.
  • This approach offers a novel strategy for autonomous robot security.