Zhuoyang Tang

Papers

Total Citations

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About

Zhuoyang Tang is a researcher in assistive robotics and human-robot interaction, with a focus on developing intelligent mobility aids for enhanced user autonomy. Their most-cited work, "An intelligent cane walker robot based on force control" (2015, 9 citations), introduces a novel robotic cane that dynamically interprets user intent through force sensors and a walking model, enabling intuitive and comfortable assistance. This contribution addresses critical challenges in rehabilitation engineering by bridging sensor data with user-driven control, laying groundwork for adaptive walking support systems. Tang’s research emphasizes the integration of dynamic modeling and real-time force feedback to improve safety and usability in assistive devices. While their citation count reflects an emerging impact, the work demonstrates a thoughtful approach to human-centered robotics, offering a foundation for future innovations in mobility aids for elderly and disabled populations. Tang’s contributions highlight a commitment to practical, user-aware solutions in robotic assistance.