Junmin Park

Papers

Total Citations

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About

Junmin Park is a leading researcher in human-robot collaboration (HRC), with a focus on making physical human-robot interaction (pHRI) safer, more intuitive, and more reliable for industrial applications. Their work centers on two critical challenges: robust collision detection and natural touch-based communication. Park’s most-cited paper (2023, 10 citations) introduces a groundbreaking dynamic collision estimator for collaborative robots. By modeling collisions as a dynamic Markov process within a Bayesian network, this work achieves highly reliable, real-time detection—a significant advance over static-event models, directly enhancing safety in shared workspaces. Complementing this, their 2024 paper (6 citations) pioneers touch gesture recognition for pHRI, moving beyond rudimentary contact to enable complex, intuitive commands for assembly tasks. This work is vital for next-generation manufacturing, where seamless human-robot teamwork is essential. Park’s contributions are not only technically rigorous but also practically impactful, addressing the core safety and usability barriers in collaborative robotics. Their research is shaping the future of automation, where robots work safely and responsively alongside humans.