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Decentralised control of multiple mobile agents for quick, smooth, and safe movement

Author

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  • Kano, Takeshi
  • Iwamoto, Mayuko
  • Ueyama, Daishin

Abstract

There are growing applications of multiagent systems in which each mobile agent moves towards its destination while avoiding others, e.g. robots in warehouses, self-driving cars, and flying drones. In these systems, it is desirable that each agent moves quickly, smoothly, and safely. However, simple methods for satisfying these three functions simultaneously have not been developed. To address this challenge, we capture the essential control mechanism for achieving multiobjective tasks, drawing inspiration from pedestrian flow. We propose a decentralised control scheme, an extension of the social force model, which is a simple model of pedestrian flow, wherein agents can avoid other agents based on the prediction of their future motions. Through simulations, we demonstrate that the proposed control scheme enables agents to move quickly, smoothly, and safely.

Suggested Citation

  • Kano, Takeshi & Iwamoto, Mayuko & Ueyama, Daishin, 2021. "Decentralised control of multiple mobile agents for quick, smooth, and safe movement," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 572(C).
    • Handle: RePEc:eee:phsmap:v:572:y:2021:i:c:s0378437121001709
    DOI: 10.1016/j.physa.2021.125898
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    References listed on IDEAS

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    1. Burstedde, C & Klauck, K & Schadschneider, A & Zittartz, J, 2001. "Simulation of pedestrian dynamics using a two-dimensional cellular automaton," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 295(3), pages 507-525.
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