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About

Huan Qi is a researcher whose work bridges robotics, biomechanics, and intelligent control, with a focus on enhancing human-machine interaction and autonomous multi-agent systems. A key contribution is the development of a novel anthropomorphic mechanical leg, where parameter optimization methods improve kinematic performance over traditional serial mechanisms, advancing prosthetic and robotic limb design. In rehabilitation robotics, Qi introduced a closed-loop electromyography (EMG) model that estimates continuous joint movements, enabling active control of lower-limb exoskeletons—a significant step toward intuitive, bio-signal-driven therapy. This work, cited 5 times, complements later research on collaborative robotic grasping, where implicit human-computer interaction combines surface EMG and inertial data for compliant, natural object manipulation. Earlier in their career, Qi tackled multi-agent pursuit-evasion in unknown environments, proposing a distributed algorithm based on Contract Net protocols that allows agents with limited detection to coordinate effectively—a foundational contribution to swarm robotics. With over 20 citations across their top papers, Qi’s interdisciplinary approach—from mechanical leg prototyping to EMG-based control and multi-agent coordination—demonstrates a sustained impact on both assistive robotics and autonomous systems, offering practical solutions for real-world applications in healthcare and exploration.