Papers

2

Total Citations

137

H-Index

2

About

In So Kwon is a leading roboticist whose work centers on humanoid robot locomotion, control systems, and disaster-response robotics. His most significant contribution came through his role in Team KAIST’s participation in the DARPA Robotics Challenge (DRC) Finals, where he helped develop the DRC-HUBO+ robot. The team’s innovative control strategy and system design enabled the robot to successfully navigate eight complex tasks simulating a Fukushima-like nuclear disaster under degraded communication conditions. This work, detailed in his highly cited 2016 paper (127 citations), demonstrated practical advances in bipedal stability, manipulation, and autonomous decision-making for emergency scenarios. Kwon’s research has directly influenced the design of humanoid robots capable of operating in hazardous environments, bridging the gap between laboratory prototypes and real-world deployment. His achievements highlight the importance of robust hardware-software integration in field robotics, and his continued work on control strategies remains foundational for researchers developing next-generation disaster-response robots.

Research Focus

Key Achievements

2
H-Index
2
Papers
137
Total Citations
69
Avg Citations/Paper
🏆 Most Cited Paper
Robot System of DRC-HUBO+ and Control Strategy of Team KAIST in DARPA Robotics Challenge Finals
127 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 24
🏛 Institutions: Korea Advanced Institute of Science and Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago