Inhwan Dennis Lee

Korea Advanced Institute of Science and Technology, Korea Institute of Science and Technology

Papers

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About

Inhwan Dennis Lee is a leading researcher in robotic 3D scanning and autonomous view planning, with a focus on advancing reverse engineering and digital manufacturing. His work addresses the critical challenge of automating the acquisition of high-quality 3D representations of mechanical parts and real-world objects. Lee’s most-cited paper, "Automatic Pose Generation for Robotic 3-D Scanning of Mechanical Parts" (2020, 41 citations), introduces a novel approach that eliminates manual intervention by automatically generating optimal scanning poses for robotic systems, significantly streamlining the reverse engineering pipeline. Building on this, his 2024 paper "Autonomous view planning methods for 3D scanning" (13 citations) provides a comprehensive survey of recent advancements, establishing a foundational framework for researchers and practitioners in autonomous robot navigation and digitalization. Lee’s contributions are pivotal in reducing the complexity and time required for 3D scanning, enabling more efficient and accurate digital twin creation. His work has garnered attention for its practical impact in industrial automation, and he continues to push the boundaries of intelligent robotic perception and sensor planning.