Shuting Li

Hubei University of Technology, Sichuan University

Papers

Total Citations

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About

Shuting Li is a robotics researcher whose work focuses on the intersection of trajectory optimization, bio-inspired design, and intelligent locomotion. Li’s most cited paper, “An Optimized Trajectory Planning for Welding Robot” (2018, 6 citations), introduces a high-performance method that integrates welding parameters with spatial path planning, significantly improving real-time controllability and reducing welding error—a practical contribution to industrial automation. In “Bayesian Optimization of a Quadruped Robot During 3-Dimensional Locomotion” (2019, 5 citations), Li applies advanced machine learning to enhance robotic gait adaptation in complex environments, bridging the gap between simulation and real-world agility. A particularly creative achievement is the “Study on Kinematics and Dynamics of Intelligent Connector of Safety Cable to Tower Imitating Crocodile Mouth Action” (2021, 2 citations), where Li employs bionic principles—mimicking an alligator’s snapping jaw—to design a robot that securely connects safety cables on high towers. This work demonstrates Li’s talent for translating biological mechanisms into robust engineering solutions. With a cumulative citation count of 13, Li’s contributions, though still emerging, showcase a promising trajectory in robotic manipulation, adaptive control, and biomimetic design.