Abstract
Magnetic manipulation of particles at close vicinity is a challenging task. In this paper, we propose simultaneous and independent manipulation of two identical particles at close vicinity using two mobile robotic electromagnetic needles. We developed a neural network that can predict the magnetic flux density gradient for any given needle positions. Using the neural network, we developed a control algorithm to solve the optimal needle positions that generate the forces in the required directions while keeping a safe distance between the two needles and particles. We applied our method in five typical cases of simultaneous and independent microparticle manipulation, with the closest particle separation of 30 μm.
Original language | English |
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Title of host publication | Proceedings of MARSS 2022 - 5th International Conference on Manipulation, Automation, and Robotics at Small Scales |
Editors | Sinan Haliyo, Mokrane Boudaoud, Eric Diller, Xinyu Liu, Yu Sun, Sergej Fatikow |
Publisher | IEEE Institute of Electrical and Electronic Engineers |
ISBN (Electronic) | 978-1-6654-5973-0 |
ISBN (Print) | 978-1-6654-5974-7 |
DOIs | |
Publication status | Published - 2022 |
MoE publication type | A4 Article in a conference publication |