Max Sokolich

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About

Max Sokolich is a rising researcher at the frontier of micro-robotics, whose work centers on the design, control, and biomedical application of untethered microrobots. His key research areas include electromagnetic manipulation systems, helical microrobots for cell manipulation, and machine learning for micro-scale control. Sokolich’s major contributions are exemplified by his work on "ModMag," a modular magnetic micro-robotic manipulation device (2023, 25 citations), which addresses a critical need for compact, optimized electromagnetic systems used in microrheology and micro-robotics. He has also advanced the field with "Rolling Helical Microrobots for Cell Patterning" (2023, 4 citations), demonstrating how these miniature devices can precisely arrange cells—a promising step toward targeted drug delivery and tissue engineering. Most recently, his 2024 paper on "Learning a Tracking Controller for Rolling μbots" (2 citations) pioneers the use of machine learning to achieve accurate control of micron-scale robots for emerging medical applications. Though early in his career, Sokolich’s work is already shaping the future of micro-robotics, bridging hardware innovation with intelligent control to unlock new possibilities in biomedicine.