Max Robotics — Global Service Robot Directory + US Certification

About

Xijuan Guo is a robotics researcher whose work centers on the kinematic and dynamic performance analysis of both serial and parallel robot manipulators. Over the course of her career, spanning at least the early 2000s through the late 2000s, Guo has made meaningful contributions to the theoretical foundations of robot performance evaluation, accumulating approximately 30 citations across her published works. Her most significant contributions lie in the development and generalization of acceleration performance indices — including acceleration, angular acceleration, and linear acceleration metrics — grounded in first-order and second-order kinematic influence coefficient matrices (Jacobian and Hessian matrices). Crucially, her indices extend beyond earlier frameworks by incorporating both matrix types, enabling more comprehensive dynamic characterization of robotic systems. She applied these analytical tools to lower-mobility parallel mechanisms, multi-loop unsymmetrical robots, and serial manipulators alike, demonstrating their broad applicability across robot architectures. Guo's 2004 work introducing acceleration and dexterity performance indices for 6-DOF and lower-mobility parallel mechanisms remains her most cited contribution. She also demonstrated practical simulation methods using MATLAB for parallel mechanisms, bridging theoretical analysis with accessible computational tools. Her body of work provides foundational metrics that researchers and engineers can use to assess and optimize robot design performance.