Papers
2
Total Citations
15
H-Index
2
About
Fuhua Wang is a robotics researcher whose work centers on the development of novel sensing mechanisms and control strategies for specialized robotic systems. His primary research areas include embedded optical torque sensing for biomimetic robots and the modeling and control of underactuated mechanisms, particularly for climbing robots. Wang’s major contribution is the design of a highly reliable, lightweight optical torque sensor integrated into a flexure spring, enabling precise joint torque measurement in biomimetic arms—a critical advancement for safe and responsive human-robot interaction. This work, detailed in his 2018 paper, has garnered 12 citations, establishing a foundation for future sensor development. Additionally, his 2017 study on climbing robots addresses the complex control challenges of underactuated, multi-degree-of-freedom systems by proposing a model reference adaptive control strategy for steady holding. With a focus on practical, hardware-integrated solutions, Wang’s research bridges the gap between theoretical control and real-world robotic applications, offering tangible improvements in robot dexterity and autonomy.
Research Focus
Key Achievements
Top Papers
- 1A Highly Reliable Embedded Optical Torque Sensor Based on Flexure Spring12 citations · 2018
- 2Modeling and Steady Holding Strategy of a Climbing Robot3 citations · 2017