Papers
1
Total Citations
3
H-Index
1
About
Yi Han’s research centers on advancing the safety and autonomy of robotic systems, with a particular focus on collaborative robots (cobots) operating in industrial, medical, and household environments. His most-cited work, “A Method of Sensorless Collision Detection Based on Motor Current for Robot Manipulator” (2020), introduces a cost-effective, sensorless approach to detecting collisions by monitoring motor current—eliminating the need for external sensors while maintaining reliable safety responses. This contribution addresses a critical challenge in human-robot interaction, offering a practical solution for safer, more accessible robotic systems. Although his citation count remains modest, the work’s relevance to the growing field of collaborative robotics underscores its potential impact. Han’s research bridges the gap between theoretical safety algorithms and real-world implementation, making him a notable contributor to robot manipulation and collision avoidance. His achievements reflect a commitment to developing robust, sensor-reducing methods that enhance both performance and safety—key priorities for the next generation of autonomous and interactive robots.
Research Focus
Key Achievements
Top Papers
- 1