Joosung Lee
Papers
1
Total Citations
10
H-Index
1
About
Joosung Lee’s research focuses on advancing the safety and autonomy of heavy construction machinery, particularly through teleoperation and collision avoidance systems. His most-cited work, “Creation of One Excavator as an Obstacle in C-Space for Collision Avoidance during Remote Control of the Two Excavators Using Pose Sensors” (2020), addresses a critical gap in unmanned excavator operations: preventing accidents when multiple machines are controlled remotely. By modeling one excavator as a dynamic obstacle in configuration space (C-space) and leveraging pose sensors, Lee developed a method to enable real-time collision avoidance between two teleoperated excavators. This contribution directly tackles the heightened accident risks in remote-controlled construction sites, offering a practical path toward safer, more efficient autonomous excavation. With 10 citations, this work has influenced subsequent studies in robotic construction and human-machine interaction. Lee’s achievements underscore his commitment to bridging robotics theory with real-world industrial challenges, making him a notable figure in the field of construction automation and teleoperation safety.
Research Focus
Key Achievements
Top Papers
- 1