Aggregating Single-wheeled Mobile Robots for Omnidirectional Movements

Abstract
This paper presents a novel modular robot system that can self-reconfigure to achieve omnidirectional movements for collaborative object transportation. Each robotic module is equipped with a steerable omni-wheel for navigation and is shaped as a regular icositetragon with a permanent magnet installed on each corner for stable docking. After aggregating multiple modules and forming a structure that can cage a target object, we have developed an optimization-based method to compute the distribution of all wheels’ heading directions, which enables efficient omnidirectional movements of the structure. By implementing a hierarchical controller on our prototyped system in both simulation and experiment, we validated the trajectory tracking performance of an individual module and a team of six modules in multiple navigation and collaborative object transportation settings. The results demonstrate that the proposed system can maintain a stable caging formation and achieve smooth transportation, indicating the effectiveness of our hardware and locomotion designs.
Authors
Meng Wang, Yao Su, Hang Li, Jiarui Li, Jixiang Liang, Hangxin Liu
Publication Year
2023
https://liuhx111.github.io/data/paper/IROS23_WMR.pdf
Publication Venue
IROS
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