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A hybrid formation path planning based on the velocity-virtual spring method in dynamic environments

Yimei Chen (School of Control Science and Engineering, Tiangong University, Tianjin, China)
Huanhuan Cheng (School of Control Science and Engineering, Tiangong University, Tianjin, China)
Baoquan Li (School of Control Science and Engineering, Tiangong University, Tianjin, China)

Industrial Robot

ISSN: 0143-991X

Article publication date: 25 September 2024

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Abstract

Purpose

The purpose of this study is to propose a path-planning strategy based on the velocity-virtual spring method to realize collision-free tasks in dynamic environments and further improve the effect.

Design/methodology/approach

By considering factors such as the relative velocity and direction of dynamic obstacles, the repulsive force of the robot is improved, thereby enhancing the adaptability of the strategy and achieving flexible and effective avoidance against dynamic obstacles. The attraction formula has been designed to allow the robot to have better smooth changes and higher gradients near the target, helping robots better reach the target and follow formations. Moreover, to meet the demands of the various stages during the driving process, the null space behavioral control is used to solve multi-task conflict problems and strengthen formation coordination and control.

Findings

Comparison of the planning path and formation effects through simulation and physical experiments, the results of this study show that the algorithm proposed can successfully maintain formation stability and plan smooth and safe paths in static or dynamic environments.

Originality/value

This paper proposes a path-planning strategy based on the velocity-virtual spring method to plan collision-free paths for formation in dynamic environments.

Keywords

Acknowledgements

This work was supported by the National Natural Science Foundation of China (No. 62473282); and the State Scholarship Fund of China (No. 202109347006). In addition, the fund number of the National Natural Science Foundation of China is updated to No. 62473282.

Citation

Chen, Y., Cheng, H. and Li, B. (2024), "A hybrid formation path planning based on the velocity-virtual spring method in dynamic environments", Industrial Robot, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/IR-04-2024-0179

Publisher

:

Emerald Publishing Limited

Copyright © 2024, Emerald Publishing Limited

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