We consider a competition between two swarms of aerial vehicles, where multiple intruder vehicles try to approach and then leave an area that multiple guardian vehicles are protecting. Pre-existing swarming strategies for the guardians to maximize the probability of capturing a single intruder are summarized. This work considers the case where multiple intruders approach the protected area sequentially with varied time intervals, to study the impact of intrusion frequency on the probability of capture. In addition, we formulate a payoff function treating the competition as a zero-sum game, and use this function to design strategies for the intruders, i.e., how to optimize the time interval between intrusions. We propose an intrusion strategy and demonstrate its performance with numerical simulations.
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ASME 2017 Dynamic Systems and Control Conference
October 11–13, 2017
Tysons, Virginia, USA
Conference Sponsors:
- Dynamic Systems and Control Division
ISBN:
978-0-7918-5828-8
PROCEEDINGS PAPER
Competing Swarms of Autonomous Vehicles: Intruders Versus Guardians
Daigo Shishika,
Daigo Shishika
University of Maryland, College Park, MD
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Katarina Sherman,
Katarina Sherman
University of Maryland, College Park, MD
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Derek A. Paley
Derek A. Paley
University of Maryland, College Park, MD
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Daigo Shishika
University of Maryland, College Park, MD
Katarina Sherman
University of Maryland, College Park, MD
Derek A. Paley
University of Maryland, College Park, MD
Paper No:
DSCC2017-5133, V002T14A006; 10 pages
Published Online:
November 14, 2017
Citation
Shishika, D, Sherman, K, & Paley, DA. "Competing Swarms of Autonomous Vehicles: Intruders Versus Guardians." Proceedings of the ASME 2017 Dynamic Systems and Control Conference. Volume 2: Mechatronics; Estimation and Identification; Uncertain Systems and Robustness; Path Planning and Motion Control; Tracking Control Systems; Multi-Agent and Networked Systems; Manufacturing; Intelligent Transportation and Vehicles; Sensors and Actuators; Diagnostics and Detection; Unmanned, Ground and Surface Robotics; Motion and Vibration Control Applications. Tysons, Virginia, USA. October 11–13, 2017. V002T14A006. ASME. https://doi.org/10.1115/DSCC2017-5133
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