Papers
6
Total Citations
169
H-Index
4
About
Yida Liu is a leading researcher in wearable robotics and soft exoskeletons, with a focus on developing lightweight, intelligent systems that enhance human mobility and reduce metabolic effort. His most cited work, the "Soft bimorph actuator with real-time multiplex motion perception" (2020, 113 citations), pioneers a novel actuator design that integrates sensing and actuation, enabling precise motion control—a breakthrough for human-robot interaction. Liu’s contributions to soft exosuits are particularly impactful: his 2021 study on a lightweight wearable exosuit (36 citations) demonstrates significant reductions in metabolic rate and muscle fatigue during walking, addressing the critical challenge of device weight for both healthy users and rehabilitation patients. He further innovates with a time-division multiplexing approach (2021, 8 citations) that allows a single motor to assist multiple joints, reducing system complexity and bulk. Liu also advances adaptive control through terrain classification (2021, 4 citations) and gait-based cable pretension (2019, 4 citations), ensuring seamless assistance across varied environments. With over 160 total citations, his work is shaping the next generation of practical, energy-efficient wearable robots, bridging the gap between laboratory prototypes and real-world assistive technologies.
Research Focus
Key Achievements
Top Papers
- 1Soft bimorph actuator with real-time multiplex motion perception113 citations · 2020
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- 4Wiring Simulation of Electric Control Cabinet Based on Industrial Robot4 citations · 2023
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