Cooperative Control Strategy of Multiple Magnetic Millirobots for Automatic Assembly

Cooperative control of multiple small-scale robots significantly increases capability compared to a single one. However, multiple robots driven by the same magnetic field receive the same input signal, causing hardly different responses. In our previous work, multiple robots with heterogeneous magnetization angles could be at the same velocity or only one could move and the others not. However, cooperatively controlling multiple robots in the same magnetic field remains a challenge because of the difficulty of arbitrarily adjusting the velocity relationships of multiple robots. In this work, we propose a novel cooperative control strategy of multiple magnetic millirobots based on their velocity difference for the automatic manipulation and assembly of objects. The velocity difference between the multiple millirobots with different magnetization angles is modeled and controlled by the inclination angle of the external oscillating magnetic field. We developed a differential wheel-inspired cooperative control method of a two- or four-millirobot team for cooperative object transport in closed-loop control. Considering the efficiency and collision avoidance of high-precision assembly of multiple objects, an optimal task allocation method based on the shortest total transport path and an improved sampling-based path planning method in real-time are proposed. Experiments demonstrated two and four-millirobots were able to cooperatively transport objects of different shapes with a maximum mass of 16 times that of a single robot. Furthermore, the multimillirobot team could autonomously assemble three strip objects to the desired shape with a position error of less than 2.16 mm and an orientation angle error of fewer than 5.07<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$^\circ$</tex-math></inline-formula>.

Authors

Institutions

Publication Details

Journal
IEEE/ASME Transactions on Mechatronics
Published
2024-09-27
DOI
https://doi.org/10.1109/tmech.2024.3458429
Citations
12
Primary Topic
Micro and Nano Robotics
Type
article
Field-Weighted Citation Impact
3.73

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Cooperative Control Strategy of Multiple Magnetic Millirobots for Automatic Assembly

Chenyang Huang, Tiantian Xu, Dong Li, Xinyu Wu
12 citations
IEEE/ASME Transactions on Mechatronics
Micro and Nano Robotics
3.73
article

Cooperative Control Strategy of Multiple Magnetic Millirobots for Automatic Assembly

Chenyang Huang, Tiantian Xu, Dong Li, Xinyu Wu
article en
12 citations

Abstract

Cooperative control of multiple small-scale robots significantly increases capability compared to a single one. However, multiple robots driven by the same magnetic field receive the same input signal, causing hardly different responses. In our previous work, multiple robots with heterogeneous magnetization angles could be at the same velocity or only one could move and the others not. However, cooperatively controlling multiple robots in the same magnetic field remains a challenge because of the difficulty of arbitrarily adjusting the velocity relationships of multiple robots. In this work, we propose a novel cooperative control strategy of multiple magnetic millirobots based on their velocity difference for the automatic manipulation and assembly of objects. The velocity difference between the multiple millirobots with different magnetization angles is modeled and controlled by the inclination angle of the external oscillating magnetic field. We developed a differential wheel-inspired cooperative control method of a two- or four-millirobot team for cooperative object transport in closed-loop control. Considering the efficiency and collision avoidance of high-precision assembly of multiple objects, an optimal task allocation method based on the shortest total transport path and an improved sampling-based path planning method in real-time are proposed. Experiments demonstrated two and four-millirobots were able to cooperatively transport objects of different shapes with a maximum mass of 16 times that of a single robot. Furthermore, the multimillirobot team could autonomously assemble three strip objects to the desired shape with a position error of less than 2.16 mm and an orientation angle error of fewer than 5.07<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$^\circ$</tex-math></inline-formula>.

IEEE/ASME Transactions on MechatronicsVol. 30(5)
Chinese Academy of Sciences (CN), Shenzhen Institutes of Advanced Technology (CN)
National Natural Science Foundation of China, Basic and Applied Basic Research Foundation of Guangdong Province
Openalex Percentile: Top 6%
Micro and Nano Robotics
3.73
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.