Jun Hee Park

Electronics and Telecommunications Research Institute

Papers

Total Citations

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About

Dr. Jun Hee Park is a forward-thinking researcher at the intersection of advanced manufacturing and intelligent robotics. His work spans two transformative fields: additive manufacturing for personalized production and robot learning through artificial intelligence. In his seminal 2018 paper on the "FaaS system" (38 citations), Dr. Park pioneered a 3D printer-based manufacturing line designed to empower small businesses and startups with personalized, on-demand production capabilities—a foundational contribution to the democratization of manufacturing. More recently, he has focused on enabling robots to learn complex tasks more efficiently. His research on robotic behavioral cloning (6 citations) and deep reinforcement learning (4 and 2 citations) addresses critical challenges in robot skill acquisition, including how to map demonstrations directly to actions and how to design modular reward shaping for complex manipulation tasks. By leveraging simulated environments to train control policies cost-effectively, Dr. Park’s work is helping to bridge the gap between simulation and real-world robotic application. His contributions are particularly notable for their practical orientation, aiming to make both manufacturing and robotic automation more accessible and adaptable for real-world use.