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About

Qijun Xiao is a robotics researcher whose work centers on multi-robot coordination, energy-efficient motion control, and rehabilitation robotics. His most impactful contribution is a multi-robot task allocation method that optimizes both time and energy consumption using multi-objective techniques—a practical framework for improving efficiency in collaborative robotic systems (26 citations). He has also advanced the control of four-wheeled omni-directional mobile robots, proposing a minimum-energy trajectory tracking controller that leverages input redundancy to reduce power use, and a multi-point preview control method for smoother trajectory following. In the biomedical domain, Xiao contributed to lower limb rehabilitation robotics, designing a system based on body weight support treadmill training (BWSTT) to address clinical usability challenges. His work spans from theoretical optimization to applied control and medical robotics, with a focus on real-world efficiency and accessibility. Though his citation counts are modest, his research demonstrates a consistent effort to solve practical problems in robot coordination and energy management, making him a dedicated contributor to the field of intelligent robotic systems.