Papers
6
Total Citations
61
H-Index
3
About
Seho Shin is a leading figure in humanoid robotics and autonomous systems, best known for his pivotal role in Team SNU’s success at the DARPA Robotics Challenge (DRC) Finals. His research focuses on control strategies, system architecture, and dynamic balance for humanoid robots operating in disaster-response scenarios. Shin’s major contributions include developing modular controllers and localization techniques that enhanced robot capability in unstructured environments, as demonstrated in his highly cited works from the DRC Finals (28 and 20 citations). These papers detail the innovative approaches—such as using artificial and natural landmarks for indoor navigation—that enabled Team SNU, a newly qualified team, to compete effectively against established rivals. His recent work extends into adversarial data aggregation (DAgger) algorithms for dynamic situations, reflecting a shift toward robust, learning-based control. With over 60 citations across his portfolio, Shin’s achievements underscore his impact on practical humanoid deployment, bridging theoretical dynamics and real-world autonomy. His contributions remain essential reading for researchers advancing robot resilience in complex, hazardous settings.
Research Focus
Key Achievements
Top Papers
- 1Approach of Team SNU to the DARPA Robotics Challenge finals28 citations · 2015
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