Xaofei Zhang

Papers

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About

Dr. Xiaofei Zhang is a robotics researcher whose work centers on intelligent motion planning and control for complex robotic systems, with a particular emphasis on dual-arm manipulation. His most cited contribution, the 2019 paper "Path planning of the dual-arm robot based on VT-RRT algorithm," introduces a novel variable step size trunk rapidly-exploring random trees (VT-RRT) algorithm. This work addresses a critical challenge in robotics: efficiently generating collision-free paths for coordinated dual-arm operations. By establishing a DH parameter simulation model using two UR5 arms, Dr. Zhang demonstrated a practical method that significantly improves path planning speed and adaptability in constrained workspaces. With 18 citations, this paper has become a reference point for researchers tackling similar problems in industrial and collaborative robotics. Dr. Zhang’s contributions are particularly valuable for advancing the autonomy of dual-arm systems used in assembly, manufacturing, and human-robot interaction, where precise and safe coordination between multiple manipulators is essential. His work continues to influence the development of more intelligent and responsive robotic platforms.