Papers
1
Total Citations
4
H-Index
1
About
Chuqi Shao is a robotics researcher whose work centers on the kinematics and control of redundant manipulators, with a particular focus on solving complex inverse kinematics problems. In their most-cited paper, "An Analytical Solution to Inverse Kinematics of Seven Degree-of-freedom Redundant Manipulator" (2020), Shao introduced a novel analytic method for computing inverse kinematics in S-R-S (spherical-rotational-spherical) configured robots. By decoupling redundancy through a virtual arm angle parameter, this work provides a computationally efficient and precise solution that avoids iterative numerical methods, enabling smoother real-time control for applications in industrial automation and human-robot collaboration. With 4 citations, this contribution has laid groundwork for further research in redundant manipulator optimization. Shao’s achievements demonstrate a strong command of forward kinematics modeling using the Denavit-Hartenberg approach, and their analytical framework offers a practical tool for engineers designing seven-DOF robotic arms. This work stands as a valuable reference for students and researchers seeking to understand redundancy resolution in serial manipulators, highlighting Shao’s role in advancing robotic motion planning and control.
Research Focus
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Top Papers
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