English

Design and Control of Modular Magnetic Millirobots for Multimodal Locomotion and Shape Reconfiguration

Robotics 2026-02-24 v1 Systems and Control Systems and Control

Abstract

Modular small-scale robots offer the potential for on-demand assembly and disassembly, enabling task-specific adaptation in dynamic and constrained environments. However, existing modular magnetic platforms often depend on workspace collisions for reconfiguration, employ bulky three-dimensional electromagnetic systems, and lack robust single-module control, which limits their applicability in biomedical settings. In this work, we present a modular magnetic millirobotic platform comprising three cube-shaped modules with embedded permanent magnets, each designed for a distinct functional role: a free module that supports self-assembly and reconfiguration, a fixed module that enables flip-and-walk locomotion, and a gripper module for cargo manipulation. Locomotion and reconfiguration are actuated by programmable combinations of time-varying two-dimensional uniform and gradient magnetic field inputs. Experiments demonstrate closed-loop navigation using real-time vision feedback and A* path planning, establishing robust single-module control capabilities. Beyond locomotion, the system achieves self-assembly, multimodal transformations, and disassembly at low field strengths. Chain-to-gripper transformations succeeded in 90% of trials, while chain-to-square transformations were less consistent, underscoring the role of module geometry in reconfiguration reliability. These results establish a versatile modular robotic platform capable of multimodal behavior and robust control, suggesting a promising pathway toward scalable and adaptive task execution in confined environments.

Keywords

Cite

@article{arxiv.2602.19346,
  title  = {Design and Control of Modular Magnetic Millirobots for Multimodal Locomotion and Shape Reconfiguration},
  author = {Erik Garcia Oyono and Jialin Lin and Dandan Zhang},
  journal= {arXiv preprint arXiv:2602.19346},
  year   = {2026}
}

Comments

Accepted by 2026 ICRA