Max Robotics — Global Service Robot Directory + US Certification

About

Xing Zhou is a robotics researcher whose work centers on robot dynamics, kinematics, and intelligent manipulation systems. His most significant contributions address fundamental challenges in robotic modeling and control, with a particular focus on serial manipulators and collaborative robots. Zhou's 2021 paper introducing the Extended Dynamic Parameter Set (EDS) for robust estimation of robot dynamics has garnered 23 citations, representing a meaningful advance in high-precision dynamic modeling that overcomes key limitations of traditional base parameter approaches. Complementing this, his 2022 work on improved inverse kinematics solutions for 6-DOF manipulators with offset wrists — cited 20 times — tackles a longstanding computational challenge for robots that do not comply with Pieper criteria, offering more efficient and practical solutions for real-world deployment. His research also spans collision detection and reaction in collaborative robots, and simulation environments for educational robotics platforms such as MicroMouse. More recently, Zhou has turned his attention toward embodied AI, exploring how multimodal foundation models can advance general-purpose robotic manipulation. Collectively, his work bridges rigorous mathematical modeling and emerging AI-driven approaches, making meaningful contributions to both the theory and application of modern robotics.