Sumei He
Papers
2
Total Citations
20
H-Index
2
About
Dr. Sumei He is a leading researcher in industrial robotics, with a primary focus on enhancing robot safety and human-robot interaction. Her work centers on developing robust collision detection and avoidance systems to make industrial robots safer and more responsive in shared workspaces. Dr. He’s most significant contribution is her pioneering momentum-based collision detection algorithm (2015), which has garnered 17 citations for its innovative approach. This algorithm leverages generalized momentum and external torque decoupling to precisely determine the location and force of a collision, enabling immediate safety reactions. Building on this foundation, she advanced the field with a multi-sensor collision avoidance method (2017) that integrates Kinect depth sensing with global vision. By combining background-difference and Otsu algorithms with human skeleton detection, this system allows robots to proactively avoid contact with human workers. Dr. He’s research directly addresses critical challenges in collaborative robotics, providing practical, sensor-driven solutions that improve industrial safety and pave the way for more intuitive human-robot collaboration in manufacturing environments.
Research Focus
Key Achievements
Top Papers
- 1A momentum-based collision detection algorithm for industrial robots17 citations · 2015
- 2A Robot Collision Avoidance Method Using Kinect and Global Vision3 citations · 2017