Jin Xing

Papers

Total Citations

H-Index

About

Jin Xing is a robotics researcher whose work bridges foundational kinematic theory and bio-inspired locomotion. His primary research areas include analytical inverse kinematics for industrial robots and dynamic climbing mechanisms inspired by animal behavior. Xing’s most notable contribution is a general framework for solving the analytical inverse kinematics of industrial robots, a critical challenge in robotics that traditionally requires case-specific solutions. This work, published in 2025, has already garnered 7 citations, reflecting its immediate relevance to practitioners seeking efficient, generalizable methods for robot control. In a strikingly different vein, Xing explored the dynamic vertical climbing of Chinese Dragon-Li cats, modeling their motion using the linear inverted pendulum framework. This 2022 study, with 6 citations, demonstrates his ability to apply principles from legged locomotion to understand and replicate agile climbing behaviors. By combining rigorous mathematical modeling with biological observation, Xing’s research offers practical tools for industrial automation while advancing the design of climbing robots. His work exemplifies how insights from nature can inform engineering solutions, making him a versatile contributor to both applied robotics and biomechanics.