Papers
1
Total Citations
34
H-Index
1
About
Kang Han is a researcher specializing in robotic sensing and mechatronic system design, with a particular focus on enhancing tactile feedback in robotic manipulation. His most-cited work, "Design and optimization of a high sensitivity joint torque sensor for robot fingers" (2019), has garnered 34 citations, reflecting its significance in advancing precision control for dexterous robotic hands. Han’s contributions center on developing high-sensitivity torque sensors that enable robots to perform delicate tasks with improved force perception, bridging the gap between mechanical design and practical application in automation and prosthetics. His research has implications for industrial robotics, where accurate joint torque measurement is critical for safe human-robot interaction and adaptive grasping. By optimizing sensor sensitivity and structural design, Han has provided a foundational framework for future innovations in tactile sensing. His work is recognized for its practical impact, offering engineers and researchers a robust solution for integrating torque feedback into compact robotic systems. Han’s achievements highlight his role in pushing the boundaries of sensor technology, making him a notable figure in the field of robotic manipulation and sensor design.
Research Focus
Key Achievements
Top Papers
- 1