Kwang-Yong Lim
Papers
2
Total Citations
6
H-Index
2
About
Kwang-Yong Lim’s research centers on multi-robot systems, with a particular focus on robust leader-following in challenging, real-world conditions. His major contributions address a critical problem: maintaining reliable robot coordination when vision-based detection is frequently lost or unreliable. In his 2016 work, “Probabilistic trajectory estimation based leader following for multi-robot systems” (4 citations), Lim pioneered a probabilistic approach to estimate a leader’s trajectory during vision dropouts, enabling a follower robot to maintain formation even when the leader is temporarily out of sight. Building on this, his 2017 paper, “A trajectory reconstruction approach for leader-following of multi-robot system” (2 citations), introduced a method to reconstruct the leader’s relative path within a sliding time window using only on-board sensors, allowing for precise separation-distance control without external infrastructure. Though early in his citation impact, these works are foundational for deploying multi-robot teams in GPS-denied or cluttered environments, such as warehouses or disaster zones. Lim’s research is notable for its practical, sensor-driven solutions that push multi-robot coordination toward greater autonomy and resilience.
Research Focus
Key Achievements
Top Papers
- 1
- 2