Jinhyuk Park
Papers
1
Total Citations
97
H-Index
1
About
Jinhyuk Park is a leading researcher in robotics, with a primary focus on safe human-robot interaction and collision detection. His most influential work, "Learning-Based Real-Time Detection of Robot Collisions Without Joint Torque Sensors" (2020, 97 citations), addresses a critical challenge in collaborative robotics: enabling robots to sense and respond to physical contact without expensive hardware. Park pioneered a learning-based approach that uses only motor currents and kinematic data to distinguish between sharp impacts and softer interactions like pulling or catching motions. This innovation dramatically reduces the cost and complexity of implementing safety systems in industrial and service robots. Beyond this flagship paper, his research spans real-time monitoring, fault detection, and adaptive control strategies that make robots safer and more autonomous. Park's contributions are particularly significant for the growing field of human-robot collaboration, where reliable, sensorless collision detection is essential for widespread adoption. His work continues to influence both academic research and practical robot safety standards, earning him recognition as a key figure in making robots more accessible and trustworthy in human environments.
Research Focus
Key Achievements
Top Papers
- 1