Design and Control of Modular Magnetic Millirobots for Multimodal Locomotion and Shape Reconfiguration
Organizations: Department of Bioengineering, Imperial College London, London, United Kingdom.
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.
Figures & tables
| System | Actuation | Max Field (mT) | Module ( ) | Collision-free Reconfig. | Single-module Closed-Loop Control | Workspace ( ) | Cooling Req. |
|---|---|---|---|---|---|---|---|
| Rogowski et al. 2020 [ 20 ] | 3D | 40 | – | ✗ | ✓ | ||
| Bhattacharjee et al. 2022 [ 21 ] | 3D | 22 | ✗ | ✗ | ✗ | ||
| Lu et al. 2023 [ 22 ] | 3D | 23 | ✗ | ✗ | ✗ | ||
| Rogowski et al. 2023 [ 23 ] | 3D | 32 | – | ✗ | ✓ | ||
| This work | 2D | 13 | ✓ | ✓ | ✗ |
| Coil | Diameter (m) | Spacing (m) | Turns |
|---|---|---|---|
| Hx | 0.100 | 0.050 | 100 |
| Hy | 0.176 | 0.088 | 176 |
| Mx | 0.104 | 0.090 | 100 |
| My | 0.152 | 0.132 | 152 |
Modular Robotics
Modular robotics studies robots built from interchangeable or self-reconfiguring parts that adapt their shape, capabilities, and tasks.
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