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Daehyung Park is an associate professor in the School of Computing at KAIST and leading the Robust Intelligence and Robotics (RIRO) Lab. His research interests include learning- and planning-based robotic manipulation algorithms.
Park has experience in a broad range of robotics in both academic and industrial areas. He received a B.S. at Osaka University (advisor: Dr. Tatsuo Arai). He received an M.S. at the University of Southern California, where he researched movement primitives (advisor: Dr. Stefan Schaal). After earning his master’s degree, he worked as a robotics researcher at the Mechatronics R&D Center of Samsung Electronics Inc. He received a Ph.D. at Georgia Institute of Technology, where he researched a multimodal execution monitor for assistive robots (advisor: Dr. Charles C. Kemp). He also worked as a postdoctoral associate in Computer Science and Artificial Intelligence Laboratory at Massachusetts Institute of Technology, working with Dr. Nicholas Roy in Robust Robotics Group.
Research Interests - Manipulation, Reinforcement Learning, Natural Language Processing
News
I organize a workshop on Designing Interactive Humanoids: Learning Tasks through Interaction with Humans at Humanoids, 2024
Keynote speech at International Elite Summer Schoo in Robotics & Entrepreneurship, 2024
I will serve as the program chair (PC) for RiTA 2024.
Invited talk at RSS 2023 Workshop on Articulate Robots [link]
Selected for IEEE ICRA Outstanding Planning paper award, 2023.
I organize a workshop on Experiment-oriented Locomotion and Manipulation Research at RSS, 2023
I organize a special session on Human-Agent/Robot Interaction in Healthcare and Medicine at RO-MAN, 2023
My students received the RiTA Best Student Paper award, 2022.
Received the Outstanding Young Researcher Award (우수신진연구자상) from ICROS, 2022.
Received the Excellence Paper Award (우수논문상) from KRoC, 2022.
Selected for IEEE ICRA Outstanding Navigation paper finalist, 2022.
Received the Google Research Scholar award, 2022.
Our field robot paper is published from Field Robotics, 2022.
Media
Interview with 기계-정보 연구정보센터, 로봇 신문, 2021
Our manipulation systems are exposed on "ROBOTICS: Teaming for Future Soldier Combat", U.S. Army CCDC ARL, 2019
"Generation Robot", Mouser, March, 2018
IEEE spectrum's Video Friday, Sept. 4, 2017
"Robot Winter School", irobotnews, Dec. 20, 2015
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