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About

Shuting Ji is a mechanical engineering researcher whose work spans robotic systems, precision transmission mechanisms, and rehabilitation robotics. Based at the intersection of industrial automation and human-centered design, Ji has made notable contributions to advancing the performance and reliability of robotic components and control systems. Ji's most impactful work includes a highly cited 2021 study on evaluating working stiffness in robot-assisted bonnet polishing systems (35 citations) and a 2019 investigation into 6-DOF robotic obstacle avoidance using artificial potential field methods (32 citations), which introduced a practical whole-arm path planning algorithm for industrial welding applications. These contributions reflect a strong foundation in robotic motion planning and system dynamics. More recently, Ji has focused extensively on RV reducer technology — a critical component in industrial robots — publishing multiple studies on cycloidal gear modification, load-bearing optimization, friction loss modeling, and fatigue-based lifespan evaluation. This growing body of work addresses real-world precision and durability challenges in robotic drivetrains. Ji also demonstrated breadth through the development of Co-Exos II, a human-compatible upper-limb rehabilitation exoskeleton designed to resolve kinematic incompatibility issues. With a cumulative citation profile reflecting steady influence across robotics and mechanical design, Shuting Ji represents a versatile and technically rigorous contributor to modern automation engineering.