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About

XU Xin-he is a robotics researcher whose work spans humanoid robotics, mobile robot navigation, and intelligent control systems. He is perhaps best known for pioneering the concept of the Biped Robot with Heterogeneous Legs (BRHL), a novel humanoid robot architecture featuring one bionic and one artificial limb. His foundational papers on BRHL's kinematic and dynamic modeling, bionic limb design, and optimized mechanism design collectively represent a sustained and original contribution to biomimetic robotics research. Beyond humanoid systems, XU has made notable contributions to mobile robot autonomy, addressing the challenging problem of Simultaneous Localization and Mapping (SLAM) and developing uncertainty grid-map approaches for environment representation using fuzzy set theory. His integration of fuzzy neural networks with reinforcement learning for robot navigation demonstrates a consistent interest in bridging intelligent learning algorithms with real-world robotic applications. Additional contributions include trajectory tracking via global vision, hardware-in-the-loop simulation using dSPACE platforms, and internet-based competitive robot systems. With his most cited work accumulating 11 citations and a body of research spanning from 2004 to 2009, XU's portfolio reflects productive mid-2000s activity in a rapidly evolving field. His interdisciplinary approach — combining biomechanics, control theory, and machine learning — makes his work valuable reading for researchers in intelligent robotics and autonomous systems.