Jun Ho Park

Papers

Total Citations

H-Index

About

Jun Ho Park is a leading researcher in autonomous robotics, with a primary focus on intelligent navigation, coverage path planning, and structural inspection. His most impactful work, "Toward Autonomous Bridge Inspection," has garnered 53 citations and proposes a pioneering framework for deploying unmanned aerial vehicles to replace human inspectors in hazardous bridge assessment tasks. Earlier foundational contributions include a highly cited 2007 paper (32 citations) on complete and efficient coverage path planning for mobile robots, which has direct applications in de-mining, cleaning, and painting. Park further advanced practical robotics with his 2013 study on ceiling-vision-based path planning for cleaning robots, demonstrating a 22% improvement in cleaning efficiency through geometric pattern alignment. His research bridges the gap between theoretical path optimization and real-world deployment, addressing both safety-critical infrastructure inspection and everyday service robotics. Park’s work is notable for its emphasis on completeness and efficiency—key metrics that have influenced subsequent generations of autonomous systems. His career reflects a commitment to making robots more autonomous, reliable, and practical for both industrial and domestic environments.