Shitai Ma

Papers

Total Citations

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About

Shitai Ma is a leading researcher in intelligent robotic systems, with a primary focus on adaptive control strategies for industrial manufacturing processes. His most cited work, "A hybrid control strategy for grinding and polishing robot based on adaptive impedance control" (2021, 67 citations), addresses a critical challenge in automated surface finishing: achieving compliant motion to eliminate impact forces during processing contact. Ma's key contribution lies in developing an electrically driven linear end effector integrated with adaptive impedance control, enabling robots to perform precision grinding and polishing with enhanced stability and surface quality. This work has significant implications for automating high-precision manufacturing tasks that traditionally require skilled human labor. Beyond this flagship study, Ma's research portfolio spans robot-environment interaction, force control, and intelligent manufacturing systems. His innovative hybrid control approach has been widely recognized, accumulating citations that underscore its practical value in bridging the gap between theoretical control methods and real-world industrial applications. Ma's work continues to influence the development of more dexterous and adaptive robotic systems for complex manufacturing environments.