Byeol Kim
Papers
1
Total Citations
10
H-Index
1
About
Byeol Kim is a leading researcher in construction robotics and autonomous heavy machinery, with a primary focus on enhancing safety and efficiency in remote-controlled excavation systems. Her 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, 10 citations), addresses a critical challenge in teleoperation: preventing collisions between multiple unmanned excavators. Kim pioneered a novel approach that models one excavator as a dynamic obstacle in configuration space (C-Space), enabling real-time collision avoidance through pose sensor data. This contribution is vital for reducing accident risks in hazardous construction environments where remote control is essential. Her research integrates robotics, sensor fusion, and workspace modeling to advance the practical deployment of autonomous construction equipment. While her citation count reflects the emerging nature of this field, Kim's work is foundational for developing safer teleoperation protocols and multi-machine coordination strategies. She continues to influence the next generation of construction automation, where her methods are increasingly adopted to mitigate human error and improve operational reliability in unmanned heavy machinery.
Research Focus
Key Achievements
Top Papers
- 1