Speed and Density Planning for a Speed-Constrained Robot Swarm Through a Virtual Tube

The planning and control of a robot swarm in a complex environment has attracted increasing attention. To this end, the concept of virtual tubes has been taken up in our previous work. Specifically, a variable-width virtual tube is designed to prevent collisions with obstacles in complex environments. Based on the planned virtual tube for a large number of speed-constrained robots, the average forward speed and density along the virtual tube are further planned in this letter to improve safety and efficiency. In contrast to existing methods, the proposed method leverages global information and is well-suited for navigating confined spaces with speed-constrained robot swarms. Numerical simulations and experiments are conducted to show that the safety and efficiency of the passing-through process are improved.

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Publication Details

Journal
IEEE Robotics and Automation Letters
Published
2024-10-09
DOI
https://doi.org/10.1109/lra.2024.3477094
Citations
10
Primary Topic
Robotic Path Planning Algorithms
Type
article
Field-Weighted Citation Impact
2.49

Funders

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article

Speed and Density Planning for a Speed-Constrained Robot Swarm Through a Virtual Tube

Yan Gao, Quan Quan, Wenqi Song
10 citations
IEEE Robotics and Automation Letters
Robotic Path Planning Algorithms
2.49
article

Speed and Density Planning for a Speed-Constrained Robot Swarm Through a Virtual Tube

Yan Gao, Quan Quan, Wenqi Song
article en
10 citations

Abstract

The planning and control of a robot swarm in a complex environment has attracted increasing attention. To this end, the concept of virtual tubes has been taken up in our previous work. Specifically, a variable-width virtual tube is designed to prevent collisions with obstacles in complex environments. Based on the planned virtual tube for a large number of speed-constrained robots, the average forward speed and density along the virtual tube are further planned in this letter to improve safety and efficiency. In contrast to existing methods, the proposed method leverages global information and is well-suited for navigating confined spaces with speed-constrained robot swarms. Numerical simulations and experiments are conducted to show that the safety and efficiency of the passing-through process are improved.

IEEE Robotics and Automation LettersVol. 9(11)
Tiangong University (CN), Beihang University (CN)
National Natural Science Foundation of China
Sustainable cities and communities
Openalex Percentile: Top 9%
Robotic Path Planning Algorithms
2.49
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