Da‐hui Lin‐Yang
Papers
1
Total Citations
6
H-Index
1
About
Da‐hui Lin‐Yang is a researcher advancing the frontier of physical human-robot interaction (pHRI), with a focus on enabling robots to safely and precisely manipulate human limbs. His key research areas span tactile sensing, kinesthetic perception, and deep learning for robotic grasping. In his landmark 2022 work, "Dataset with Tactile and Kinesthetic Information from a Human Forearm and Its Application to Deep Learning," Lin‐Yang addressed a critical gap in assistive and rescue robotics: the need for robots to accurately estimate grasping locations on a human body. By creating a comprehensive multimodal dataset combining tactile and kinesthetic data from the human forearm, he demonstrated how deep learning models can leverage this information to improve grasping precision. This foundational contribution, with 6 citations, has provided a vital resource for the pHRI community, enabling safer and more intuitive human-robot collaboration. Lin‐Yang’s work is particularly notable for its direct application to real-world scenarios where robots must physically interact with people, such as in emergency rescue or rehabilitation. His research continues to push the boundaries of how machines perceive and respond to human contact, promising more responsive and trustworthy robotic assistants.
Research Focus
Key Achievements
Top Papers
- 1