Gong Zhang

Papers

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About

Gong Zhang is a robotics researcher whose work centers on advanced motion planning, kinematic control, and human-robot interaction, with a particular focus on dual-arm robotic systems. His most recognized contribution is his 2017 paper on dual quaternion-based kinematic control for the YuMi dual-arm robot, which has garnered 15 citations and represents a meaningful step forward in simplifying the mathematical framework for cooperative robotic task description. By leveraging the compact and computationally elegant properties of dual quaternions — which elegantly encode both rotational and translational information — Zhang addressed longstanding complexities associated with traditional translational vector and rotational matrix approaches in dual-arm coordination. This work has practical implications for industrial automation, collaborative robotics, and any application requiring precise, synchronized multi-limb manipulation. Zhang's research speaks to a growing need in the robotics community for more intuitive and computationally efficient representations of spatial motion, particularly as dual-arm platforms like ABB's YuMi become increasingly prevalent in research and manufacturing settings. His contributions offer valuable tools for engineers and researchers seeking robust solutions to cooperative task planning challenges in modern robotic systems.