Papers
3
Total Citations
48
H-Index
3
About
Yeon Kang is a robotics researcher whose work focuses on advancing the safety, precision, and simulation of robotic manipulators for smart manufacturing and human-robot collaboration. Their key contributions lie in three interconnected areas: force-sensitive compliance control, collision avoidance, and simulation tools. Kang’s most cited work introduces a novel six-axis force/torque and displacement sensor built on a 6-DOF parallel mechanism, acting as a compliance compensator that both protects robots from impact and provides critical feedback for precise assembly tasks (23 citations). They also developed a collision avoidance system that integrates a 3D potential field method with the ISO 15066 safety standard, enabling manipulators to safely share workspaces with humans (10 citations). To accelerate robot design and testing, Kang created a URDF Generator for manipulator robots, a simulation tool that reduces cost and development time (15 citations). By bridging hardware innovation with practical simulation and safety standards, Kang is helping to make collaborative robotics more reliable and accessible for industrial applications.
Research Focus
Key Achievements
Top Papers
- 1
- 2URDF Generator for Manipulator Robot15 citations · 2019
- 3