Dynamic Simulation-Guided Design of Tumbling Magnetic Microrobots
This addresses the costly trial-and-error process in microrobot design for researchers and engineers, though it is incremental as it builds on existing simulation methods by incorporating specific contact models.
The paper tackles the problem of designing microrobots by developing a dynamic simulation tool that accounts for non-point contact effects like adhesion and friction, enabling the optimization of shapes for improved locomotion performance, with simulation results verified experimentally against metrics such as linear velocity and climbable incline angle.
Design of robots at the small scale is a trial-and-error based process, which is costly and time-consuming. There are few dynamic simulation tools available to accurately predict the motion or performance of untethered microrobots as they move over a substrate. At smaller length scales, the influence of adhesion and friction, which scales with surface area, becomes more pronounced. Thus, rigid body dynamic simulators, which implicitly assume that contact between two bodies can be modeled as point contact are not suitable. In this paper, we present techniques for simulating the motion of microrobots where there can be intermittent and non-point contact between the robot and the substrate. We use these techniques to study the motion of tumbling microrobots of different shapes and select shapes that are optimal for improving locomotion performance. Simulation results are verified using experimental data on linear velocity, maximum climbable incline angle, and microrobot trajectory. Microrobots with improved geometry were fabricated, but limitations in the fabrication process resulted in unexpected manufacturing errors and material/size scale adjustments. The developed simulation model is able to incorporate these limitations and emulate their effect on the microrobot's motion, reproducing the experimental behavior of the tumbling microrobots, further showcasing the effectiveness of having such a dynamic model.