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 |
|---|---|
| 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 |
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