Dalin Xu

Papers

Total Citations

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About

Dalin Xu is a robotics researcher whose work centers on the kinematics and simulation of multi-joint robotic systems, particularly those with more than six degrees of freedom. His most-cited paper, "Kinematics analysis and simulation of a smart eight-joint tandem robot" (2020), addresses a fundamental challenge in robotics: the non-uniqueness of inverse kinematic solutions for high-DOF manipulators. By applying optimization methods, including neural network approaches, Xu has contributed to solving these complex inverse problems, enabling more precise control and simulation of redundant robots. His research is vital for advancing smart manufacturing and automation, where flexible, multi-jointed robots are increasingly deployed. With 3 citations on this key work, Xu’s studies provide a foundation for engineers and researchers tackling the computational hurdles of robot motion planning. His focus on eight-joint tandem robots highlights a niche but critical area, bridging theoretical kinematics with practical simulation tools. For students and researchers in robotics, Xu’s work offers clear insights into the mathematical and algorithmic strategies needed to optimize the performance of next-generation articulated robots.