Papers
21
Total Citations
252
H-Index
11
About
Yitong Zhou is an emerging researcher at the forefront of soft robotics, whose work spans actuator design, variable stiffness mechanisms, rehabilitation robotics, and intelligent control systems. His most significant contributions center on fluidic prestressed composite (FPC) actuators, for which he developed novel large-deflection modeling frameworks that have become foundational references in the field, collectively accumulating over 55 citations across multiple publications. Zhou's research on soft robotic gloves for hand rehabilitation stands out for its accessibility and innovation — designing affordable, lightweight devices with integrated sensing, force feedback, and virtual reality interfaces to assist patients recovering from stroke, arthritis, and spinal cord injuries. His work on discrete layer jamming mechanisms has advanced the design of variable-stiffness co-robot arms, addressing critical safety challenges in human-robot interaction. Zhou has also contributed to the broader academic community through a comprehensive scientometric review of soft robotics (2010–2021), mapping the field's intellectual evolution. More recently, his hybrid modelling and reinforcement learning approach to controlling soft robotic arms demonstrates a growing sophistication in bridging physics-based and data-driven methodologies, making him a versatile and impactful contributor to modern robotics research.
Research Focus
Key Achievements
Top Papers
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- 3Discrete Layer Jamming for Variable Stiffness Co-Robot Arms23 citations · 2019
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- 8Discrete Layer Jamming for Safe Co-Robots17 citations · 2019
- 9Mechanically Prestressed Pneumatically Driven Bistable Soft Actuators13 citations · 2023
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