Yong Jun Lee
7 Papers
29 Citations
Yong Jun Lee is an academic researcher. The author has contributed to research in topics: Computer science. The author has an hindex of 1, co-authored 1 publications.
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Papers
Patent
Sealing ring structure of a cosmetic container
Yong Jun Lee,Jeen Gee Kim +1 more
- 28 Oct 2010
TL;DR: In this paper, an elastomer rib is formed on an external cap and double-injection molding is used to increase the elastic restoring force from the hard rubber charged and hardened in an injection concave groove of a support body that accommodates an internal container.
29
Robust Sampled-data Output Feedback T-S Fuzzy Control for Vehicle Active Suspension Systems via Input Delay Approach
Yong Jun Lee,Seong Woo Kang,Dong Sung Pae,Hyun Duck Choi,Myo Teak Lim +4 more
- 27 Nov 2022
TL;DR: In this paper , the sampled-data output feedback fuzzy control issue for active suspension systems via the input delay approach was studied. And the existence conditions of the sampled data fuzzy controller were obtained concerning linear matrix inequalities (LMIs).
1
Robot Navigation for Human-Following via Trajectory Forecasting
H. Cho,Ji Won Kim,Ju Ho Lee,Cheol Hoon Park,Sun-Ho Jang,Yong Jun Lee,Jeong-Seop Park,Yeon Sub Jin,J. Woo,Myo Taeg Lim +9 more
- 04 Nov 2025
TL;DR: This paper proposes a robot navigation algorithm for human-following using trajectory forecasting, enabling robots to follow individuals even when they're out of sight, by predicting their future location based on occupancy grid maps and SLAM.
Visual Feedback Tele-Operation Systems for Robot Manipulation Using 3D-Printing
Yong Jun Lee,S. Baek,H. Cho,Sun-Ho Jang,Cheol Hoon Park,Woo Jin Ahn,Hyun Duck Choi,Myo Taeg Lim +7 more
- 04 Nov 2025
TL;DR: This paper proposes a visual feedback teleoperation system for robotic manipulation using 3D printing, enabling remote inspection and data collection in industrial manufacturing environments through visual SLAM and ROS2, facilitating safe and efficient robot operation.
Sampled-Data L2-L∞ Filter-Based Fuzzy Control for Active Suspensions
TL;DR: In this article , a filter-based output feedback fuzzy control design technique for active suspension systems subjected to hard constraints is presented, where the sampled-data problem of continuous-time suspension systems is solved using an input delay approach.