Papers
15
Total Citations
292
H-Index
9
About
Okkee Sim is a leading roboticist whose work centers on humanoid and quadruped robot control, with a particular focus on disaster response and bipedal locomotion. His most impactful contribution is his role in Team KAIST’s success at the DARPA Robotics Challenge (DRC) Finals, detailed in his highly cited 2016 paper (127 citations), which described the robot system and control strategy for DRC-HUBO+ in simulated nuclear disaster scenarios. Sim advanced bipedal walking stability through innovative foot placement control using capture point feedback (27 citations), a method that generates desired ZMP values to maintain balance. He also developed practical collision detection systems for humanoid robots using separating axis theorem and oriented bounding boxes (19 citations), enabling safer real-time operation. His work extends to quadruped robots with position/torque hybrid control strategies (13 citations) and tele-operated rescue robots for disaster response (15 citations). Sim’s research has been instrumental in bridging the gap between theoretical control algorithms and practical deployment in hazardous environments, making him a key figure in the field of disaster robotics and humanoid locomotion.
Research Focus
Key Achievements
Top Papers
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- 3Collision detection system for the practical use of the humanoid robot19 citations · 2015
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- 6Development of a Tele-Operated Rescue Robot for a Disaster Response15 citations · 2018
- 7Position/torque hybrid control of a rigid, high-gear ratio quadruped robot13 citations · 2018
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