Ki Park

Nevada National Security Site

Papers

1

Total Citations

1

H-Index

1

About

Ki Park is a robotics researcher whose work lies at the intersection of autonomous navigation, object recognition, and nuclear safety. Their primary research focuses on developing intelligent robotic systems capable of performing hazardous inspection tasks, particularly in environments involving nuclear materials. Park’s most notable contribution is a pioneering study on robot path planning that leverages machine learning-based object recognition to enable a quadruped robot to autonomously navigate toward and inspect nuclear material containers. This work demonstrates a critical advance in deploying mobile robots for radiation surveys, reducing human exposure to dangerous environments. While their most-cited paper has garnered 1 citation to date, its recent publication in 2024 signals growing interest in this emerging application area. Park’s research addresses a pressing need in nuclear security and waste management, combining computer vision, path planning algorithms, and robotic locomotion. Their achievements highlight the potential for autonomous systems to transform routine monitoring and emergency response in radiological settings, making them a promising voice in the field of field robotics and safety-critical automation.

Research Focus

Key Achievements

1
H-Index
1
Papers
1
Total Citations
1
Avg Citations/Paper
🏆 Most Cited Paper
Robot Path Planning Utilizing Object Recognition for Inspection of Nuclear Material Containers
1 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Nevada National Security Site

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago