Jehun Hahm

About

Jehun Hahm is a robotics researcher whose work focuses on advancing autonomous navigation and industrial automation, particularly for mobile robots and pipe inspection systems. His key research areas include position recognition for mobile robots, pipe construction and rehabilitation robotics, and automated defect detection in manufacturing. Hahm’s most cited work, “Marker-Based Method for Recognition of Camera Position for Mobile Robots” (2021, 9 citations), proposes a novel strategy for estimating camera position using a three-method approach, addressing the challenge of rapidly changing environments in robot navigation. He has also made significant contributions to infrastructure maintenance, developing a pipe construction robot for water pipeline rehabilitation (6 citations) and a robotic system for detecting and grinding pipe spatters (3 citations), which automates the removal of welding residues in pipe production. Additionally, Hahm has explored simulator-based integration for disaster response robots and designed a high-traction in-pipe robot capable of navigating pipes 500–800 mm in diameter. His work demonstrates a strong commitment to solving real-world challenges in robotics, from disaster response to industrial efficiency, with cumulative citations reflecting growing recognition in the field.

Research Focus

Key Achievements

Top Papers

1. 1
   Marker-Based Method for Recognition of Camera Position for Mobile Robots

   9 citations · 2021
2. 2
   Development of the Pipe Construction Robot for Rehabilitation Work Process of the Water Pipe Lines

   6 citations · 2021
3. 3
   Pipe Spatter Detection and Grinding Robot

   3 citations · 2022
4. 4
   Requirement analysis of simulator-based integration for disaster response robots

   2 citations · 2017
5. 5
   Development of High Traction In-pipe Robot Adjustable 500~800 mm Pipe and Verification of the Capability

   2 citations · 2021

Key Collaborators

Contact & Links