Seunghak Shin
Papers
5
Total Citations
148
H-Index
4
About
Seunghak Shin is a leading figure in humanoid robotics, best known for his pivotal role in Team KAIST’s historic victory at the 2015 DARPA Robotics Challenge (DRC) Finals. His core research focuses on whole-body robot control, real-time perception, and autonomous navigation for disaster-response robots. Shin’s most significant contribution is the design and control strategy of the DRC-HUBO+, a humanoid robot capable of driving a vehicle, climbing stairs, and manipulating tools in degraded communication conditions. This work, detailed in his landmark 2016 paper (127 citations), demonstrated the first-ever integration of a humanoid’s bipedal walking with seated driving, setting a new standard for field robotics. Beyond the DRC, Shin advanced high-speed obstacle detection using multi-lidar systems and developed motion deblurring frameworks for wheeled mobile robots, enhancing vision reliability in dynamic environments. His object proposal method using 3D point clouds further improved autonomous object detection. With a citation count exceeding 140, Shin’s work has directly influenced the design of practical, rugged humanoid systems for hazardous environments, making him a key figure in bridging academic research with real-world robotic deployment.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Multi lidar system for fast obstacle detection4 citations · 2012
- 4Motion deblurring using coded exposure for a wheeled mobile robot4 citations · 2014
- 5Object proposal using 3D point cloud for DRC-HUBO+3 citations · 2016