Huixian Zheng
Papers
2
Total Citations
49
H-Index
2
About
Huixian Zheng is a leading researcher in intelligent robotics and human-robot interaction, with a primary focus on advancing multi-robot systems and rehabilitation technologies. Her pioneering work in "Mapless Collaborative Navigation for a Multi-Robot System Based on Deep Reinforcement Learning" (2019, 34 citations) has significantly advanced autonomous swarm robotics, demonstrating how deep reinforcement learning enables robots to navigate and cooperate without pre-existing maps—a breakthrough for critical applications like search-and-rescue and escort missions. This work establishes her as a key contributor to scalable, fault-tolerant multi-agent systems. More recently, Zheng has made transformative contributions to biomedical robotics through her highly cited 2023 study on "Transferable multi-modal fusion in knee angles and gait phases for their continuous prediction" (15 citations). By integrating multi-modal signals, she developed a framework that accurately predicts lower-limb kinematics, directly enabling more responsive and natural control of exoskeleton robots for rehabilitation. Her research bridges the gap between theoretical reinforcement learning and practical, real-world assistive technologies. With a growing citation impact and a portfolio that spans from autonomous navigation to human motion prediction, Zheng is shaping the future of collaborative and rehabilitative robotics, making her work essential reading for students and researchers in robotics, AI, and biomechatronics.
Research Focus
Key Achievements
Top Papers
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