Chisung Park
Papers
1
Total Citations
3
H-Index
1
About
Chisung Park is a robotics researcher whose work centers on intelligent control systems and autonomous navigation. His primary research areas include fuzzy logic control, trajectory planning, and the development of algorithms that enable robots to operate effectively in dynamic, obstacle-filled environments. Park’s most cited paper, "Trajectory planning of autonomous robot using advanced fuzzy controller" (2010), addresses a fundamental challenge in robotics: how a robot can autonomously move from one point to another while avoiding obstacles. In this work, he proposes a novel approach that mimics human decision-making, using a fuzzy controller to select optimal paths based on distance and environmental cues, rather than relying solely on numerical supervised learning. This contribution has garnered 3 citations, reflecting its niche but foundational role in advancing adaptive robotic control. Park’s research bridges the gap between theoretical control methods and practical robotic applications, offering insights that are valuable for students and engineers working on autonomous systems. His work underscores the importance of integrating human-like reasoning into machine navigation, a key step toward more resilient and intelligent robots.
Research Focus
Key Achievements
Top Papers
- 1Trajectory planning of autonomous robot using advanced fuzzy controller3 citations · 2010