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Updated: Jun 23, 2026
10:09
Operation of the Collaborative Composite Manufacturing (CCM) System
Published on: October 1, 2019
Consensus of self-driven agents with avoidance of collisions.
Liqian Peng1, Yang Zhao, Baomei Tian
1Department of Modern Physics and Nonlinear Science Center, University of Science and Technology of China, Hefei 230026, People's Republic of China.
Summary
This study enhances agent-based modeling for collision avoidance by introducing adaptive speed and repulsion. The modified Vicsek model ensures safe distances and faster consensus in collective motion systems.
Area of Science:
- Complex systems
- Agent-based modeling
- Robotics and control theory
Background:
- Collision avoidance is critical for collectively moving agents.
- Existing models like the Vicsek model face limitations in achieving both safety and efficiency.
- The need for robust mechanisms in biological and technological multiagent systems is growing.
Purpose of the Study:
- To propose a modified Vicsek model for collision avoidance in multiagent systems.
- To enhance agent coordination and safety through adaptive speed and repulsion.
- To improve consensus speed and inter-agent spacing.
Main Methods:
- Modification of the Vicsek model incorporating adaptive speed.
- Introduction of a repulsion mechanism to prevent agent aggregation.
- Analysis of collective motion dynamics under the proposed model.
Main Results:
- The modified Vicsek model guarantees collision absence.
- Adaptive speed and repulsion lead to faster consensus among agents.
- Increased safe distances between agents are achieved, preventing aggregation.
Conclusions:
- The proposed model offers an effective mechanism for collision-free collective motion.
- Adaptive speed and repulsion are key to balancing safety and efficiency.
- This approach has significant implications for biological and technological multiagent systems.
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