Shangpei Li

Papers

Total Citations

H-Index

About

Shangpei Li is a robotics researcher specializing in kinematics modeling and motion planning for redundant robotic manipulators. Their work centers on one of the most technically challenging problems in robotics: solving the inverse kinematics of seven degrees-of-freedom (7-DoF) robotic arms, which are prized for their human-like flexibility and ability to perform complex manipulation tasks across industrial, medical, and service robotics applications. Li's most notable contribution is the development of novel analytical methods for deriving inverse kinematics solutions for 7-DoF redundant manipulators. Their 2018 paper, "Solving Inverse Kinematics Model for 7-DoF Robot Arms Based on Space Vector," introduced a space vector-based approach that has garnered 13 citations, establishing it as a meaningful reference in the field. Building on this foundation, Li extended the work in a 2019 follow-up study proposing a refined analytical inverse kinematics model, further advancing the mathematical framework for handling the redundant degrees of freedom that make these manipulators particularly versatile yet computationally demanding. Li's research provides practical tools that help roboticists design more efficient motion control algorithms, contributing to the broader goal of deploying dexterous robotic arms in real-world environments.