
Science Robotics Paper on Robust/Accurate Hand Tracking
The paper on VIST (visual-inertial skeleton tracking) for robust and accurate hand motion tracking, Y. Lee, W. Do, H. Yoon, J. Heo, W. Lee and D. J. Lee, Visual-Inertial Hand Motion Tracking with Robustness against Occlusion, Interference, and Contact, Science Robotics, 6(58), 2021 has been published at Science Robotics, September 2021. https://www.science.org/doi/10.1126/scirobotics.abe1315 https://www.inrol.snu.ac.kr/journal https://www.youtube.com/watch?v=y9T0Uts-DuI https

ICRA2021 Best Manipulation Paper Award Finalist
The following paper, J. Lee, M. Lee, J. Yoon and D. J. Lee, A Parallelized Iterative Algorithm for Real-Time Simulation of Long Flexible Cable Manipulation was selected as a finalist for the Best Manipulation Paper Award at ICRA 2021. https://www.youtube.com/watch?v=gDmp6IxMm88 https://www.inrol.snu.ac.kr/conference

윤재민(박사과정), 이민지(석박통합과정), 손동원(석사졸업), 제15회 한국로봇종합학술대회 최우수논문상 (2020.08.18)
https://me.snu.ac.kr/ko/board/news/view/13010
![[신동아]플라톤아카데미와 함께하는 ‘인문을 과학하다 (2020.03)](https://static.wixstatic.com/media/313661_e1fea133a54b419181128a11a62fc3eb~mv2.png/v1/fill/w_319,h_240,fp_0.50_0.50,enc_auto/313661_e1fea133a54b419181128a11a62fc3eb~mv2.png)
[신동아]플라톤아카데미와 함께하는 ‘인문을 과학하다 (2020.03)
https://shindonga.donga.com/3/all/13/1994414/1

Doosan infracore Concept-X
SNU-INRoL participated Doosan infracore's demonstration for futuristic construction site, named, "Concept-X". INRoL contributed the expert-emulating trajectory generation for autonomous excavators based on machine-learning and DMP (dynamic motion primitives) approaches. The results were also published and presented at IROS 2019. http://news.kmib.co.kr/article/view.asp?arcid=0013949875&code=61141411&cp=nv https://www.news1.kr/articles/?3773626 https://www.youtube.com/watch?v=