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Eduardo Aranda-Bricaire1, Jaime González-Sierra2

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This summary is machine-generated.

This study introduces a new method for multi-agent formation control, ensuring agents maintain safe distances using repulsive vector fields (RVFs). The approach effectively prevents collisions while achieving desired formations for second-order systems.

Keywords:
collision avoidanceformation controlmulti-agent systemssecond-order agents

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Area of Science:

  • Robotics
  • Control Theory
  • Artificial Intelligence

Background:

  • Multi-agent systems require coordinated control for tasks like formation flying.
  • Ensuring collision avoidance is critical for the safety and efficiency of these systems.
  • Second-order dynamics present unique challenges in controlling agent movement and acceleration.

Purpose of the Study:

  • To develop a robust formation control strategy for multi-agent systems with second-order dynamics.
  • To implement a collision avoidance mechanism using repulsive vector fields (RVFs).
  • To ensure agents maintain a safe distance from each other during formation maneuvers.

Main Methods:

  • Utilized a nested saturation approach to manage agent acceleration and velocity constraints.
  • Developed repulsive vector fields (RVFs) to actively steer agents away from potential collisions.
  • Designed a dynamic scaling parameter for RVFs based on inter-agent distances and velocities.
  • Validated the approach through numerical simulations and comparative analysis.

Main Results:

  • The proposed nested saturation approach effectively controls agent dynamics within specified limits.
  • Repulsive vector fields successfully prevented collisions, maintaining distances greater than a predefined safety threshold.
  • The system demonstrated stable formation control and effective collision avoidance under various scenarios.
  • Performance was validated against a repulsive potential function (RPF) method.

Conclusions:

  • The combined nested saturation and RVF approach provides a reliable solution for collision-free formation control in second-order multi-agent systems.
  • This method enhances safety and efficiency in multi-agent coordination.
  • The findings offer a valuable contribution to the field of autonomous systems and robotics.