Daehyung Park is an assistant professor in the School of Computing at KAIST. 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. Arai Tatsuo). 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 opened the Robust Intelligence and Robotics (RIRO) Lab homepage!! : https://rirolab.github.io/
  • Now, looking for new lab members at KAIST!! Please, email me your resume/CV !
  • Invited as a guest speaker for the Introduction to Assistive Robotics class, the George Washington Univ., 2020
  • Invited to International Workshop on Intelligent Robot Teammates for Complex Missions in Unstructured Environments, India, 2020
  • My multimodal estimation work is accepted by IJRR [PDF][Video].
  • My assistive feeding system work is published by RAS [PDF][Video].
  • My CBN-IRL work is selected for CoRL Oral Presentation, 2019
  • Four (co)authored paper are published by CoNLL, CoRL, and PLOS ONE, 2019
  • My CBN-IRL work is presented at RLDM workhop, 2019
  • Three co-authored papers are published by IROS, ISER, and CoRL, 2018
  • My feeding system is exposed on media, Mouser and Grant Imahara, March 2018
  • D. Park, H. Kim, and C. C. Kemp. “Multimodal Anomaly Detection for Assistive Robots”, Autonomous Robots, 2018

Media