Papers
8
Total Citations
142
H-Index
6
About
Samyeul Noh is a pioneering researcher in robotics and autonomous systems, whose work bridges the gap between bio-inspired mechanisms and intelligent vehicle control. His early contributions include the development of a bio-mimetic robot hand using parallel mechanisms (33 citations), which replicated human hand dexterity through under-actuated fingers and coupled linear actuators. Noh has made significant strides in autonomous driving, notably through his work on the ETRI Co-Pilot project, where he designed a Co-Pilot agent for cooperative vehicle/driver interaction (31 citations). His collision avoidance methods for on-road environments (22 citations) and high-level data fusion for probabilistic situation assessment (15 citations) have advanced the safety and intelligence of automated vehicles. More recently, Noh has explored autonomous indoor mobile robot navigation (21 citations) and multi-agent manufacturing systems (9 citations), demonstrating versatility across domains. His latest work on sample-efficient, occlusion-robust reinforcement learning for robotic manipulation (2025, 6 citations) showcases his continued innovation in merging machine learning with robotics. With a career spanning over a decade, Noh’s research has accumulated substantial impact, influencing both academic robotics and practical autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1Development of bio-mimetic robot hand using parallel mechanisms33 citations · 2009
- 2Co-Pilot Agent for Vehicle/Driver Cooperative and Autonomous Driving31 citations · 2015
- 3Collision avoidance in on-road environment for autonomous driving22 citations · 2014
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- 6System Design for Automation in Multi-Agent-Based Manufacturing Systems9 citations · 2020
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