Zheqing Zuo

Papers

Total Citations

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About

Zheqing Zuo is a researcher focused on the intersection of human-robot interaction and assistive robotics, particularly in the domain of lower limb exoskeletons. Their work centers on enabling these wearable robots to understand and respond to human intent, a critical challenge for rehabilitation and mobility assistance. Zuo’s most cited paper, "Human Intention Recognition for Lower Limb Exoskeleton Robot" (2023), explores how to decode user movement cues to improve control, laying groundwork for more intuitive human-machine collaboration. A complementary study, "Virtual Model Control Algorithm Simulation for Lower Limb Assist Exoskeleton" (2023), advances simulation-based testing of control strategies, reducing the gap between theoretical models and real-world application. Though early in their career, with citations currently in the single digits, Zuo’s contributions are foundational to emerging exoskeleton technologies that promise to restore mobility for individuals with lower limb impairments. Their work reflects a growing emphasis on adaptive, user-aware robotics, positioning them as a promising voice in rehabilitation engineering and human augmentation.