Papers
2
Total Citations
3
H-Index
1
About
Bingran Zuo is a pioneering researcher at the intersection of biomechanics, robotics, and digital twin technology, with a primary focus on human locomotion and assistive device control. His work centers on creating high-fidelity, personalised simulations of human movement to advance rehabilitation engineering and gait assistance. Zuo’s most notable contribution is the development of a "Personalised 3D Human Digital Twin with Soft-Body Feet for Walking Simulation" (2024), which introduces unprecedented realism by modeling the complex deformations of the human foot during gait—a critical factor often overlooked in conventional rigid-body simulations. This innovation, already garnering 2 citations, enables more accurate analysis of human-robot interaction. In his subsequent work, "A Human-in-the-Loop Simulation Framework for Evaluating Control Strategies in Gait Assistive Robots" (2025), Zuo addresses a pressing global challenge: as populations age, effective rehabilitation and mobility aids become essential. His framework allows researchers to iteratively test and refine robot controllers with real-time human feedback, bridging the gap between simulation and clinical application. By integrating soft-body biomechanics with interactive control evaluation, Zuo is laying the groundwork for next-generation, adaptive assistive technologies that can be tailored to individual patient needs.
Research Focus
Key Achievements
Top Papers
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- 2