JaeHyeon Gwon
Papers
1
Total Citations
15
H-Index
1
About
JaeHyeon Gwon is a robotics researcher whose work bridges the gap between multi-agent systems and sports engineering. His primary research areas include sensor fusion, path planning, and cooperative robotics, with a particular focus on real-world applications in dynamic environments. Gwon’s most notable contribution is his work on sweeping robots designed for the Olympic sport of curling, where he developed an enhanced path planning strategy that allows a team of robots to collaboratively clean the ice surface, creating an optimal trajectory for a curling stone. This innovative approach, detailed in his 2020 paper "Path Planning of a Sweeping Robot Based on Path Estimation of a Curling Stone Using Sensor Fusion," has garnered 15 citations, demonstrating its impact on both robotics and sports technology. By integrating sensor fusion techniques to estimate the stone’s path, Gwon’s research enables precise, adaptive motion planning for multi-robot systems, showcasing a novel application of robotics in competitive athletics. His work not only advances the field of autonomous navigation but also highlights the potential for robotics to enhance traditional sports, making him a distinctive figure in applied robotics research.
Research Focus
Key Achievements
Top Papers
- 1