Tae-Kyeong Yeo
Papers
1
Total Citations
23
H-Index
1
About
Dr. Tae-Kyeong Yeo is a robotics researcher whose work focuses on autonomous navigation and path planning for industrial applications, particularly in mining environments. His most impactful contribution is a 2014 study on path tracking control coverage for mining robots, which has garnered 23 citations. In this work, Dr. Yeo introduced an exhaustive coverage path planning method based on exact cell decomposition, enabling robots to systematically cover complex, irregular mining areas. By decomposing the minable terrain into discrete cells and generating efficient back-and-forth coverage paths, his approach ensures thorough area traversal while maintaining precise path tracking control—a critical requirement for autonomous mining operations. This research addresses the practical challenge of enabling robots to operate safely and effectively in hazardous, unstructured underground environments. Dr. Yeo’s work represents an important step toward fully autonomous mining systems, reducing human exposure to dangerous conditions while improving operational efficiency. His contributions to coverage path planning and robotic control continue to influence developments in field robotics and industrial automation.
Research Focus
Key Achievements
Top Papers
- 1