Hanwen Yang
Papers
1
Total Citations
5
H-Index
1
About
Hanwen Yang is a researcher at the forefront of human-robot interaction and physical human-robot collaboration, with a particular focus on variable impedance control and human motor learning. His work bridges the gap between human biomechanics and robotic systems, enabling robots to intuitively understand and adapt to human movement dynamics. Yang's most notable contribution is the development of an online estimation model for 2D human arm stiffness, as detailed in his highly cited 2023 paper. This model, grounded in recent physiological findings that joint stiffness scales linearly with torque magnitude to compensate for environmental disturbances, allows robots to dynamically adjust their behavior during tasks like peg-in-hole assembly. By enabling real-time estimation of human arm impedance, Yang's research paves the way for safer and more efficient human-robot collaboration in manufacturing, rehabilitation, and assistive robotics. With 5 citations on this key work, his findings are already influencing the design of adaptive robotic controllers. Yang's work stands out for its practical application of neurophysiological principles to engineering, offering a pathway toward robots that can seamlessly work alongside humans in unstructured environments.
Research Focus
Key Achievements
Top Papers
- 1