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20212026
most citedA First-Order Approach to Model Simultaneous Control of Multiple Microrobots

10 citations · 12 across the 11 of their papers we have counts for

collaborators

11 papers

cs.RO2026

Residual RL-MPC for Robust Microrobotic Cell Pushing Under Time-Varying Flow

Yanda Yang, Sambeeta Das

Contact-rich micromanipulation in microfluidic flow is challenging because small disturbances can break pushing contact and induce large lateral drift. We study planar cell pushing…

cs.RO2026

MicroPush: A Lightweight Simulator for Sim-to-Real Microrobotic Pushing and Assembly

Yanda Yang, Sambeeta Das, Zion Lee

Developing learning-based autonomy for microrobotic manipulation is difficult because physical trials are slow, variable, and poorly suited to large-scale training. We present Micr…

cs.RO2025

MicroRoboScope: A Portable and Integrated Mechatronic Platform for Magnetic and Acoustic Microrobotic Experimentation

Max Sokolich, Yanda Yang, Subrahmanyam Cherukumilli +2

This paper presents MicroRoboScope, a portable, compact, and versatile microrobotic experimentation platform designed for real-time, closed-loop control of both magnetic and acoust…

cs.RO2025

Real-time autonomous magnetic microrobot navigation across dynamic and biologically relevant environments

Yanda Yang, Max Sokolich, Fatma Ceren Kirmizitas +3

Autonomous microrobots could enable minimally invasive interventions in confined biological environments, but their operation requires real-time navigation among moving obstacles a…

cs.RO2025

Autonomous Vision-Based Magnetic Microrobotic Pushing of Micro-Objects and Cells

Max Sokolich, Ceren Kirmizitas, Sambeeta Das +1

Accurate and autonomous transportation of micro-objects and biological cells can enable significant advances in a wide variety of research disciplines. Here, we present a novel, vi…

cs.RO2024

Model Predictive Control for Magnetically-Actuated Cellbots

Mehdi Kermanshah, Logan E. Beaver, Max Sokolich +5

This paper presents a control framework for magnetically actuated cellbots, which combines Model Predictive Control (MPC) with Gaussian Processes (GPs) as a disturbance estimator f…

cs.RO2022

Learning a Tracking Controller for Rolling bots

Logan E Beaver, Max Sokolich, Suhail Alsalehi +3

Micron-scale robots (bots) have recently shown great promise for emerging medical applications. Accurate controlling bots, while critical to their successful deployment, is c…

cs.RO2022★ 1 cited

Closed-loop Control of Catalytic Janus Microrobots

Max Sokolich, David Rivas, Zameer Hussain Shah +1

We report a closed-loop control system for paramagnetic catalytically self-propelled Janus microrobots. We achieve this control by employing electromagnetic coils that direct the m…

cs.RO2022

ModMag: A Modular Magnetic Micro-Robotic Manipulation Device

Max Sokolich, David Rivas, Markos Duey +2

Electromagnetic systems have been used extensively for the control magnetically actuated objects, such as in microrheology and microrobotics research. Therefore, optimizing the des…

physics.app-ph2022★ 1 cited

Dynamics and Control of Bubble-Propelled Microrobots

David P. Rivas, Max Sokolich, Harrison Muller +1

Having the advantage of being relatively fast and powerful, as well as readily fabricated, spherical bubble-propelled microrobots are particularly well suited for applications such…

cs.RO2021★ 10 cited

A First-Order Approach to Model Simultaneous Control of Multiple Microrobots

Logan E. Beaver, Sambeeta Das, Andreas A. Malikopoulos

The control of swarm systems is relatively well understood for simple robotic platforms at the macro scale. However, there are still several unanswered questions about how similar…