Coverage Control for Multi-Agent Systems via Curve Arc Length

In complex environments, effective and comprehensive information gathering necessitates the strategic deployment of multi-agent systems. Corridor-type regions, characterized as non-convex areas, present substantial challenges in formulating coverage control strategies. To tackle this issue, this paper proposes a novel coverage control methodology for multi-agent systems based on partitioning the coverage area using curve arc lengths. Firstly, the coverage areas for each team is segmented into sequentially arranged subregions based on curve arc lengths. Through adjustments in the virtual leading agent's position, the range of curve arc lengths for each team's coverage areas is dynamically managed. Then, a distributed coverage controller is developed for agents, which integrates the movement status of virtual leading agents to guide agents towards the centroid positions of their respective coverage areas. Finally, numerical simulations affirm the efficacy of the proposed coverage control approach.