Tonghui Wang

Papers

Total Citations

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About

Tonghui Wang is a robotics researcher whose work centers on the dynamics and control of humanoid robotic systems. His primary contributions lie in developing precise mathematical models for robotic motion and implementing intelligent control strategies to enhance performance. His most cited work, "Dynamics modeling and fuzzy PD control of humanoid arm" (2017, 7 citations), introduces a rigorous dynamics modeling method for the arm of the Nao humanoid robot using Euler-Lagrange equations. This foundational research provides a critical framework for controller design, enabling more accurate and adaptive arm movements. By integrating fuzzy logic with traditional PD control, Wang’s approach allows for smoother, more responsive robotic manipulation, addressing key challenges in human-robot interaction. While his citation count reflects the specialized nature of his field, his work is notable for its practical application in humanoid robotics, offering a clear pathway from theoretical dynamics to real-world control. Tonghui Wang’s research continues to influence the development of more dexterous and intelligent robotic systems.