Papers
15
Total Citations
163
H-Index
8
About
Joon-Yong Lee’s research spans two distinct frontiers: surgical outcomes and robotics control. In the medical domain, he investigated predictive factors for acute kidney injury following rectal surgery, comparing the impact of different surgical techniques—work that has garnered 27 citations and highlights his ability to bridge clinical data with patient safety. His primary contributions, however, lie in robotics, where he has advanced the control and balance of bipedal and mobile robots. Lee pioneered the use of differential evolution for RFID sensor deployment in mobile robot localization (19 citations) and developed RBF network-based controllers to handle unknown dynamics and external disturbances in mobile robots (15 citations). His most sustained impact is in bipedal locomotion: he formulated multi-objective evolutionary algorithms to generate optimal walking trajectories (15 and 10 citations) and proposed innovative balance control strategies—such as torso-moving and force-resisting approaches—that enable biped robots to withstand unexpected lateral and continuous forces (14 and 10 citations). Notably, his work on artificial pneumatic muscle control (19 citations) demonstrates an early commitment to bio-inspired actuation. With over 140 total citations across these interconnected lines of inquiry, Lee’s research offers practical, torque-efficient solutions for stable robot locomotion under real-world disturbances.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Control of Artificial Pneumatic Muscle for Robot Application19 citations · 2006
- 4Control of mobile robots using RBF network15 citations · 2004
- 5Multi-objective walking trajectories generation for a biped robot15 citations · 2005
- 6
- 7
- 8
- 9
- 10