Hyungsuck Cho
Papers
1
Total Citations
3
H-Index
1
About
Hyungsuck Cho is a researcher whose work has explored the intersection of robotics, artificial intelligence, and autonomous systems. His contributions to mobile robotics include early investigations into neural network-based approaches for position estimation, reflecting a forward-thinking embrace of machine learning techniques at a time when such methods were still emerging in robotics applications. His 1992 paper, "A Neural Net-Based Position Estimation Method for Mobile Robots in Indoor Environments," demonstrated an interest in solving one of the fundamental challenges in mobile robotics — reliable localization within complex, real-world settings — by leveraging the pattern recognition capabilities of neural networks. Though the available citation record is limited, with this work accumulating 3 citations, it represents a contribution to the foundational discourse around intelligent robot navigation that would grow significantly in relevance over subsequent decades. Cho's research situates him within a broader community of engineers and computer scientists who helped lay the groundwork for modern autonomous systems, particularly in the domain of indoor navigation, which remains a critical area in robotics research today.
Research Focus
Key Achievements
Top Papers
- 1