Robust Autonomous Control of a Magnetic Millirobot in In Vitro Cardiac Flow
Anuruddha Bhattacharjee, Xinhao Chen, Lamar O. Mair, Suraj Raval, Yancy Diaz-Mercado, Axel Krieger

TL;DR
This paper introduces a vision-guided control system for magnetic millirobots that achieves precise autonomous navigation in simulated cardiac flow conditions, demonstrating robustness against pulsatile disturbances.
Contribution
It presents a novel control framework combining localization, path planning, and disturbance compensation for reliable millirobot navigation in dynamic in vitro cardiac flow.
Findings
Achieved sub-millimeter accuracy in static fluid conditions.
Reduced tracking error by 37% under moderate pulsatile flow.
Maintained stable navigation under high flow and low viscosity conditions.
Abstract
Untethered magnetic millirobots offer significant potential for minimally invasive cardiac therapies; however, achieving reliable autonomous control in pulsatile cardiac flow remains challenging. This work presents a vision-guided control framework enabling precise autonomous navigation of a magnetic millirobot in an in vitro heart phantom under physiologically relevant flow conditions. The system integrates UNet-based localization, A* path planning, and a sliding mode controller with a disturbance observer (SMC-DOB) designed for multi-coil electromagnetic actuation. Although drag forces are estimated using steady-state CFD simulations, the controller compensates for transient pulsatile disturbances during closed-loop operation. In static fluid, the SMC-DOB achieved sub-millimeter accuracy (root-mean-square error, RMSE = 0.49 mm), outperforming PID and MPC baselines. Under moderate…
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