Hui Kong

Papers

Total Citations

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About

Hui Kong is a robotics and control systems researcher whose work centers on advanced motion planning, coordination control, and intelligent automation for robotic systems. His most recognized contribution focuses on dual-arm robotic coordination, where he developed a master-slave force hybrid coordinated motion control method grounded in Model Predictive Control (MPC) algorithms. This work, which has garnered 9 citations, addresses the complex kinematic challenges of dual 6-DOF robotic arms by integrating six-axis force sensors at the end effectors to achieve precise, responsive coordination between a master and slave arm. By leveraging MPC's predictive capabilities, Kong's approach enables more robust and adaptive control strategies compared to traditional reactive methods, making it particularly valuable for applications requiring delicate force regulation and synchronization — such as assembly, manipulation, and human-robot collaboration tasks. His research contributes meaningfully to the broader field of collaborative robotics by offering a systematic framework for handling the computational and mechanical complexities inherent in multi-arm systems. For students and researchers exploring intelligent robotic control, Kong's work represents a practical bridge between theoretical control algorithms and real-world robotic implementation challenges.