Qihang Wang
Papers
2
Total Citations
30
H-Index
2
About
Qihang Wang is a researcher focused on the cutting-edge intersection of soft robotics and intelligent control, with a primary emphasis on parallel robots actuated by pneumatic artificial muscles (PAMs). His work addresses critical challenges in rehabilitation robotics and industrial automation by leveraging PAMs’ unique biomimetic properties—compliance, high safety, and strong load-bearing capacity. Wang’s major contributions include the development of adaptive compensation tracking control strategies that enforce strict error constraints, enabling precise and safe motion in complex parallel mechanisms. His 2023 paper on this topic has garnered 28 citations, reflecting its significance in advancing real-time control for compliant robotic systems. Additionally, his 2022 work on dynamic modeling provides foundational insights into the nonlinear behavior of PAM-driven parallel robots, essential for future design optimization. By bridging theoretical control theory with practical robotic applications, Wang is helping to pave the way for safer, more adaptive human-robot interaction systems, particularly in rehabilitation settings where biological mimicry is paramount.
Research Focus
Key Achievements
Top Papers
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