TY - GEN
T1 - Automated Microrobotic Manipulation with Micron-scale Precision Using Multimodal Magnetic Microswarms
AU - Jiang, Jialin
AU - Yang, Lidong
AU - Zhang, Li
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023/7
Y1 - 2023/7
N2 - Untethered microrobots possess a promising perspective for micro-manipulation applications. With specifically designed morphologies and structures, microrobots are able to perform controllable delivery of target objects. However, the manipulation process still lacks autonomy, the picking, transporting, and releasing behaviors of microrobots need analysis. In this paper, we propose to achieve automated microrobotic manipulation with multimodal magnetic microswarms. The microswarm is composed of numerous Fe3O4 nanoparticles. When exposed to different dynamic magnetic fields (rotating magnetic field and oscillating magnetic field), the swarm could exhibit corresponding forms and generate attracting and repelling effects for micro-objects, respectively. Exploiting these two types of swarms, precise and controllable picking and releasing can be realized. The manipulation process is quantitatively divided into five stages, and a finite state machine (FSM) is presented to govern the transition between the stages. To guarantee accurate motion control of the swarm, a disturbance observer (DOB)-based super-twisting sliding mode control (STSMC) is designed. Experiments are conducted to validate the feasibility of the proposed manipulation scheme. The results demonstrate that the swarm is capable of automatically and effectively delivering micro-cargoes with different sizes to the target positions.
AB - Untethered microrobots possess a promising perspective for micro-manipulation applications. With specifically designed morphologies and structures, microrobots are able to perform controllable delivery of target objects. However, the manipulation process still lacks autonomy, the picking, transporting, and releasing behaviors of microrobots need analysis. In this paper, we propose to achieve automated microrobotic manipulation with multimodal magnetic microswarms. The microswarm is composed of numerous Fe3O4 nanoparticles. When exposed to different dynamic magnetic fields (rotating magnetic field and oscillating magnetic field), the swarm could exhibit corresponding forms and generate attracting and repelling effects for micro-objects, respectively. Exploiting these two types of swarms, precise and controllable picking and releasing can be realized. The manipulation process is quantitatively divided into five stages, and a finite state machine (FSM) is presented to govern the transition between the stages. To guarantee accurate motion control of the swarm, a disturbance observer (DOB)-based super-twisting sliding mode control (STSMC) is designed. Experiments are conducted to validate the feasibility of the proposed manipulation scheme. The results demonstrate that the swarm is capable of automatically and effectively delivering micro-cargoes with different sizes to the target positions.
UR - http://www.scopus.com/inward/record.url?scp=85173630647&partnerID=8YFLogxK
U2 - 10.1109/RCAR58764.2023.10249688
DO - 10.1109/RCAR58764.2023.10249688
M3 - Conference article published in proceeding or book
AN - SCOPUS:85173630647
T3 - Proceedings of the 2023 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2023
SP - 19
EP - 24
BT - Proceedings of the 2023 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2023
Y2 - 17 July 2023 through 20 July 2023
ER -