Papers
7
Total Citations
39
H-Index
4
About
Moon Young Lee is a robotics researcher whose work spans the critical intersection of perception, control, and locomotion for legged and wheeled robots. Her major contributions lie in developing integrated perception-control pipelines that enable dynamic locomotion over rough terrain, as demonstrated in her 2021 paper on streamlined vision-aided bipedal walking (5 citations). She has also advanced multi-agent systems, designing vision-based detection and tracking algorithms for teams of micro aerial vehicles using only a single camera and IMU—her most cited work with 14 citations. Lee’s impact extends to practical robot control, including joint space position/torque hybrid control for quadruped locomotion and push reaction (6 citations), and motion generation interfaces bridging ROS with real-time software frameworks (6 citations). Notably, she has contributed to service robotics with a fast perception-to-execution pipeline for a wheeled humanoid butler, and to agricultural robotics with the modular, reconfigurable Hefty platform (2024). Her work consistently addresses real-world challenges—from uneven terrain to sensor integration—making her a key figure in advancing robust, autonomous robot systems for dynamic environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6
- 7