Optimal Transport-based Coverage Control for Swarm Robot Systems: Generalization of the Voronoi Tessellation-based Method
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Abstract (arXiv)
Swarm robot systems, which consist of many cooperating mobile robots, have attracted attention for their environmental adaptability and fault tolerance advantages. One of the most important tasks for such systems is coverage control, in which robots autonomously deploy to approximate a given spatial distribution. In this study, we formulate a coverage control paradigm using the concept of optimal transport and propose a novel control technique, which we have termed the optimal transport-based coverage control (OTCC) method. The proposed OTCC, derived via the gradient flow of the cost function in the Kantorovich dual problem, is shown to covers a widely used existing control method as a special case. We also perform a Lyapunov stability analysis of the controlled system, and provide numerical calculations to show that the OTCC reproduces target distributions with better performance than the existing control method.
Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). First posted on arXiv 16 Nov 2020.
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Citing papers per year: 2021: 2; 2022: 2; 2023: 0; 2024: 0; 2025: 1; 2026: 2.
7 papers.
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- 2025Maximum Principle of Optimal Probability Density Controlcited by 0
- 2026Neural solver for Wasserstein Geodesics and optimal transport dynamicscited by 0
- 2026Control Laguerre Tessellation: Semi-discrete Optimal Transport Over Control Systemscited by 0
- 2026Control Laguerre Tessellation: Semi-discrete Optimal Transport Over Control Systems10 Jul 2026
- 2026Neural solver for Wasserstein Geodesics and optimal transport dynamics25 Feb 2026
- 2025Maximum Principle of Optimal Probability Density Control23 May 2025
- 2022Hierarchical Policy Blending As Optimal Transport4 Dec 2022
- 2022GeONet: a neural operator for learning the Wasserstein geodesic28 Sep 2022
- 2021Neural Monge Map estimation and its applications7 Jun 2021
- 2021Learning High Dimensional Wasserstein Geodesics5 Feb 2021