Occupation Point Planning and Tracking Control of an Underactuated Multi-Robot System to Capture a Fast Evader

This paper presents a cooperative mechanism for capturing a fast evader in a 2D space with obstacles, using a multi-robot system with a positive capture radius. First, we define the dominance region with a Cartesian oval, parameterized by the speed ratio and capture radius, and derive the minimum number of pursuers required for successful capture. Second, we develop explicit strategies to construct a defense manifold and a coverage mapping rule for occupation points, ensuring that pursuers maintain and shrink the defensible area until the evader is captured. Finally, we design a state- feedback control law for the pursuers described by second-order nonlinear underactuated dynamics, enabling finite-time tracking of occupation points while avoiding collisions and exposure. The proposed method is also applicable to heterogeneous scenarios with both high- and low-speed pursuers. Simulations and experiments with ground mobile robots validate the effectiveness of our approach.

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Publication Details

Journal
IEEE Robotics and Automation Letters
Published
2025-06-13
DOI
https://doi.org/10.1109/lra.2025.3579606
Citations
1
Primary Topic
Robotic Path Planning Algorithms
Type
article
Field-Weighted Citation Impact
1.28
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article

Occupation Point Planning and Tracking Control of an Underactuated Multi-Robot System to Capture a Fast Evader

Rongxin Cui, Weisheng Yan, Haiyan Zhao
1 citations
IEEE Robotics and Automation Letters
Robotic Path Planning Algorithms
1.28
article

Occupation Point Planning and Tracking Control of an Underactuated Multi-Robot System to Capture a Fast Evader

Rongxin Cui, Weisheng Yan, Haiyan Zhao
article en
1 citations

Abstract

This paper presents a cooperative mechanism for capturing a fast evader in a 2D space with obstacles, using a multi-robot system with a positive capture radius. First, we define the dominance region with a Cartesian oval, parameterized by the speed ratio and capture radius, and derive the minimum number of pursuers required for successful capture. Second, we develop explicit strategies to construct a defense manifold and a coverage mapping rule for occupation points, ensuring that pursuers maintain and shrink the defensible area until the evader is captured. Finally, we design a state- feedback control law for the pursuers described by second-order nonlinear underactuated dynamics, enabling finite-time tracking of occupation points while avoiding collisions and exposure. The proposed method is also applicable to heterogeneous scenarios with both high- and low-speed pursuers. Simulations and experiments with ground mobile robots validate the effectiveness of our approach.

IEEE Robotics and Automation LettersVol. 10(8)
Northwestern Polytechnical University (CN)
Openalex Percentile: Top 19%
Robotic Path Planning Algorithms
1.28
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