Sanghyuk Park
Papers
1
Total Citations
6
H-Index
1
About
Dr. Sanghyuk Park is a robotics researcher whose work focuses on sensor-based localization and navigation for autonomous mobile robots, particularly domestic cleaning robots. His most cited paper, "Feature localization using neural networks for cleaning robots with ultrasonic sensors" (2007, 6 citations), introduces an efficient method for feature localization using a minimal number of ultrasonic sensors. By employing only four ultrasonic transmitter-receiver pairs and neural networks, Park demonstrates how simple, cost-effective sensor systems can enable reliable environmental mapping and obstacle detection. This contribution is significant for the development of affordable, practical home robotics, addressing the challenge of balancing sensor economy with functional accuracy. While his citation count is modest, Park's work represents foundational thinking in low-cost robotic perception, influencing subsequent designs for vacuum cleaning robots and similar domestic platforms. His research underscores the importance of algorithmic efficiency in resource-constrained robotic systems, making him a notable figure in the field of intelligent robotics and sensor fusion.
Research Focus
Key Achievements
Top Papers
- 1