Hyun Bin Kim
Papers
1
Total Citations
16
H-Index
1
About
Hyun Bin Kim is a robotics researcher whose work centers on sensor-based perception and autonomous navigation for mobile robots. His most cited paper, "High Resolution Mobile Robot Obstacle Detection Using Low Directivity Ultrasonic Sensor Ring" (2010, 16 citations), introduces a novel approach to improving obstacle detection accuracy by employing a ring of low-directivity ultrasonic sensors. This contribution addresses a critical challenge in robotics: achieving reliable environmental sensing with cost-effective hardware. Kim’s method enhances spatial resolution without requiring expensive laser scanners, making it particularly valuable for indoor navigation and real-time obstacle avoidance. While his citation count reflects a focused, early-career impact, the work demonstrates a practical engineering mindset—balancing algorithmic innovation with hardware constraints. Researchers in mobile robotics and sensor fusion will find his approach relevant for low-cost, high-performance perception systems. Kim’s research underscores the importance of accessible sensing solutions in advancing autonomous robot capabilities.
Research Focus
Key Achievements
Top Papers
- 1