Time-varying Formation Control for Multiple Omni-WMRs Based on ROS

The present study introduces a time-varying formation control algorithm designed for multiple omni-directional mobile robots (Omni-WMRs). The algorithm employs a leader-follower strategy, which tackles the challenge of time-varying consistency in multi-robot formation control within complex environments by devising a communication topology and an error control method that ensure consistency. To validate this algorithm, a multi-robot experimental platform based on ROS was designed and constructed, utilizing its modularity and scalability to facilitate dynamic adjustments and efficient cooperation within the multi-robot system. Experimental results show that the control algorithm and experimental platform can achieve precise target trajectory tracking and flexible formation control in complex environments, maintaining consistency errors within acceptable ranges, and demonstrating efficiency and stability in practical applications.

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Publication Details

Published
2024-11-01
DOI
https://doi.org/10.1109/cac63892.2024.10865273
Primary Topic
Ultra-Wideband Communications Technology
Type
article
Field-Weighted Citation Impact
0.00
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article

Time-varying Formation Control for Multiple Omni-WMRs Based on ROS

Jun Zhao, Dengguo Luo, Kaibin Su, Huimin Zeng
Ultra-Wideband Communications Technology
article

Time-varying Formation Control for Multiple Omni-WMRs Based on ROS

Jun Zhao, Dengguo Luo, Kaibin Su, Huimin Zeng
article en

Abstract

The present study introduces a time-varying formation control algorithm designed for multiple omni-directional mobile robots (Omni-WMRs). The algorithm employs a leader-follower strategy, which tackles the challenge of time-varying consistency in multi-robot formation control within complex environments by devising a communication topology and an error control method that ensure consistency. To validate this algorithm, a multi-robot experimental platform based on ROS was designed and constructed, utilizing its modularity and scalability to facilitate dynamic adjustments and efficient cooperation within the multi-robot system. Experimental results show that the control algorithm and experimental platform can achieve precise target trajectory tracking and flexible formation control in complex environments, maintaining consistency errors within acceptable ranges, and demonstrating efficiency and stability in practical applications.

Sichuan University of Science and Engineering (CN)
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Ultra-Wideband Communications Technology
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