Abstract
AbstractA behavioral-based strategy for cooperative hunting using drones is proposed in this paper. In this decentralized scheme, each drone acts as an individual agent computing its guidance strategy toward the target based on the relative position of its neighbors without the use of direct communication. The algorithm is based on the deviated pure pursuit methodology, and the emerged behavior mimics a natural hunting formation. Simulations and real-time experiments with varying conditions were carried out to validate the effectiveness of the proposed hunting scheme. Videos of the system in action can be seen on: https://youtu.be/g2dODbd6ZLA.
Publisher
Cambridge University Press (CUP)
Subject
Computer Science Applications,General Mathematics,Software,Control and Systems Engineering,Control and Optimization,Mechanical Engineering,Modeling and Simulation
Reference37 articles.
1. [37] Soria, E. , Schiano, F. and Floreano, D. , “The Influence of Limited Visual Sensing on the Reynolds Flocking Algorithm,” Third IEEE International Conference on Robotic Computing (IRC) (2019) pp. 138–145.
2. Missile guidance and pursuit
3. A method for robot navigation toward a moving goal with unknown maneuvers
4. Parallel navigation for reaching a moving goal by a mobile robot
5. [7] Yamaguchi, H. , “A Cooperative Hunting Behavior by Multiple Nonholonomic Mobile Robots,” SMC’98 IEEE International Conference on Systems, Man, and Cybernetics, vol. 4 (1998) pp. 3347–3352.
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