Papers
10
Total Citations
280
H-Index
7
About
KangKyu Lee is a leading roboticist whose work has fundamentally advanced the design and control of legged robots, from agile quadrupeds to disaster-response humanoids. His most significant contribution came as a key member of Team KAIST, which secured first place in the DARPA Robotics Challenge Finals—a feat documented in his highly cited 2016 paper (127 citations). This work detailed the system and control strategy for the DRC-HUBO+ robot, demonstrating robust performance under degraded communication conditions. Lee has since pioneered innovations in both hardware and software: he developed a lightweight, high-efficiency cycloidal reducer for legged robots (44 citations) and led the design of KAIST HOUND, a quadruped platform optimized for fast, efficient locomotion using mixed-integer nonlinear optimization (30 citations). On the control side, he introduced a biped walking stabilization method based on capture point feedback (27 citations) and a robust walking controller that optimizes step position and timing (19 citations). His research also addresses humanoid torque control, inverse kinematics for mobile manipulators, and state estimation using compliant inverted pendulum models. With over 280 total citations across his top papers, Lee’s integrated approach to mechanical design and control continues to shape the next generation of high-performance legged robots.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6
- 7
- 8
- 9
- 10