Magnetic Trap Control in Electromagnetic Actuation: 3D Limits and 2D Realization

Magnetic microrobots (MMRs), driven by electromagnetic actuation systems, offer promise for biomedical uses such as targeted drug delivery and minimally invasive therapy, but their motion control is hindered by environmental and system constraints. We propose a magnetic trap strategy to guide MMRs. Earnshaw’s theorem confirms that stable 3D magnetic traps are impossible, so we constrain the Z-axis to form 2D traps in the X–Y plane. Experiments achieved control with errors below 2 mm at 1,024 of 1,331 test points, demonstrating feasibility under constraints. This work provides theoretical insight and practical, robust guidance for controlling MMRs with an electromagnetic actuation system in biomedical scenarios.

Authors

Institutions

Publication Details

Journal
Procedia Computer Science
Published
2025-01-01
DOI
https://doi.org/10.1016/j.procs.2025.10.144
Primary Topic
Micro and Nano Robotics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Magnetic Trap Control in Electromagnetic Actuation: 3D Limits and 2D Realization

Qianqian Wang, Hongliang Ren, Qingyang Liu, Haitao Gao et al.
Procedia Computer Science
Micro and Nano Robotics
article

Magnetic Trap Control in Electromagnetic Actuation: 3D Limits and 2D Realization

Qianqian Wang, Hongliang Ren, Qingyang Liu, Haitao Gao, Sishen Yuan, Baijia Liang, Botao Lin
article en

Abstract

Magnetic microrobots (MMRs), driven by electromagnetic actuation systems, offer promise for biomedical uses such as targeted drug delivery and minimally invasive therapy, but their motion control is hindered by environmental and system constraints. We propose a magnetic trap strategy to guide MMRs. Earnshaw’s theorem confirms that stable 3D magnetic traps are impossible, so we constrain the Z-axis to form 2D traps in the X–Y plane. Experiments achieved control with errors below 2 mm at 1,024 of 1,331 test points, demonstrating feasibility under constraints. This work provides theoretical insight and practical, robust guidance for controlling MMRs with an electromagnetic actuation system in biomedical scenarios.

Procedia Computer ScienceVol. 271
Chinese University of Hong Kong (HK), Hong Kong University of Science and Technology (HK), UNSW Sydney (AU), University of Hong Kong (HK)
Openalex Percentile: Top 79%
Micro and Nano Robotics
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.

Magnetic Trap Control in Electromagnetic Actuation: 3D Limits and 2D Realization — Qianqian Wang, Hongliang Ren, et al. · Procedia Computer Science (2025) | TGRS Research Map | TGRS