Consensus of self-driven agents with avoidance of collisions

TL;DR

This paper introduces a modified Vicsek model with adaptive speed and repulsion to ensure collision avoidance, faster consensus, and increased safety distances in multi-agent systems.

Contribution

It proposes a novel combination of adaptive speed and repulsion in the Vicsek model to enhance collision avoidance and collective motion.

Findings

Collision-free collective motion achieved

Faster consensus among agents

Increased safe distances maintained

Abstract

In recent years, many efforts have been addressed on collision avoidance of collectively moving agents. In this paper, we propose a modified version of the Vicsek model with adaptive speed, which can guarantee the absence of collisions. However, this strategy leads to an aggregated state with slowly moving agents. We therefore further introduce a certain repulsion, which results in both faster consensus and longer safe distance among agents, and thus provides a powerful mechanism for collective motions in biological and technological multi-agent systems.