Tae-Kwan Kim
Papers
1
Total Citations
4
H-Index
1
About
Tae-Kwan Kim is a robotics researcher whose work centers on sensor-based control and autonomous navigation for legged robots. His most cited paper, "A stable control of legged robot based on ultrasonic sensor" (2015, 4 citations), introduces a novel binaural sensory pod that uses an ultrasonic emitter and two receivers to enable obstacle avoidance in legged-style locomotion. By programming a micro-controller with reactive behaviors, Kim demonstrated how simple, low-cost sensors can achieve stable navigation in cluttered environments—a foundational contribution to the field of mobile robotics. This work highlights his focus on bridging hardware design with practical control algorithms, making legged robots more adaptable and robust in real-world settings. While his citation count is modest, Kim’s research offers valuable insights for students and engineers interested in sensor fusion, bio-inspired locomotion, and embedded systems. His approach underscores the importance of minimalist sensing for cost-effective robotic platforms, a principle that continues to influence the development of agile, autonomous robots.
Research Focus
Key Achievements
Top Papers
- 1A stable control of legged robot based on ultrasonic sensor4 citations · 2015