Liang-Chia Chen
Papers
4
Total Citations
38
H-Index
3
About
Liang-Chia Chen is a researcher specializing in 3D computer vision, robotic perception, and automated object digitization. His work centers on developing advanced methodologies for point cloud processing, multi-view 3D scanning, and precision robotic localization — fields critical to modern industrial automation and intelligent manufacturing. Chen's most recognized contribution is his innovative global registration framework for multi-view point cloud alignment, which leverages oriented bounding box (OBB) representations to accurately reconstruct 3D object models from robotic scanning systems. This work, published in 2016, has garnered 27 citations and represents a significant step forward in automated 3D digitization pipelines. Complementing this, his research on next-best-pose determination for robotic scanning systems demonstrates a comprehensive systems-level approach to 3D data acquisition. More recently, Chen has tackled the challenging problem of 6-degree-of-freedom (6DOF) robotic end-effector localization using 3D vision alone, eliminating the need for external reference targets — a practical advancement for real-world industrial deployment. His earlier work on optical detection for randomly oriented parts further underscores a sustained commitment to bridging 3D sensing with intelligent robotic manipulation, making his research highly relevant to researchers pursuing autonomous industrial systems.
Research Focus
Key Achievements
Top Papers
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