Su-Jin Baek
Papers
3
Total Citations
7
H-Index
2
About
Su-Jin Baek is a rising researcher in human-robot interaction and assistive robotics, with a focus on developing systems that bridge human motion and robotic control. Her work centers on gait analysis, human pose estimation, and simulation-based design for service robots. In her 2023 study on a gait measurement system using a human-following mobile robot, she introduced a novel approach that leverages MediaPipe-Pose for 2D skeleton reconstruction, enabling real-time, non-intrusive gait tracking—a contribution with potential applications in rehabilitation and elderly care. Her 2024 paper on human motion retargeting to a full-scale humanoid robot using a monocular camera further advances the field by enabling robots to mimic human movements with minimal hardware. Baek also developed a ROS-based simulator for a wheelchair-typed service robot, integrating reinforcement learning for autonomous posture adjustment, which supports mobility-impaired users. Though early in her career, with papers accumulating citations from 2020 onward, her work demonstrates strong potential for impact in assistive technology. Her achievements include pioneering open-source simulation frameworks and contributing to the growing field of human-aware robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Development of ROS-based Simulator for a Wheelchair-typed Service Robot2 citations · 2020