Changjae Oh

Papers

Total Citations

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About

Changjae Oh is a leading researcher in robotic systems for hazardous environments, with a primary focus on nuclear waste decommissioning and multi-modal sensing. His most impactful work, "A Suite of Robotic Solutions for Nuclear Waste Decommissioning" (53 citations), addresses the critical challenge of safely handling radioactive materials through robotic perception, grasping, cutting, and manipulation. This contribution directly supports the nuclear industry's imperative to sort, store, or dispose of waste with minimal human exposure. Oh further advances robotic inspection capabilities with his work on "Multi-modal robotic visual-tactile localisation and detection of surface cracks" (10 citations), which integrates visual and tactile sensing to detect structural defects in remote environments. This method enables robots to first localize cracks via camera feeds, then explore them with tactile sensors for precise assessment. Additionally, Oh has contributed to mixed reality teleoperation with his 2023 study on stereo vision systems for robot simulators. His research consistently pushes the boundaries of autonomous robotics in high-stakes settings, demonstrating significant impact in both safety-critical applications and sensor fusion technologies.