Chun Chen

Papers

Total Citations

139

H-Index

About

Chun Chen is a pioneering researcher in robotics and computer vision, whose work bridges the gap between geometric modeling and intelligent robotic systems. His most influential contribution, the 2005 paper "Modeling and calibration of a structured light scanner for 3-D robot vision," has garnered 125 citations and remains a foundational reference in the field. In this work, Chen applied projectivity theory to derive a 4×3 transformation matrix that maps image plane points to 3D world coordinates, providing a rigorous mathematical framework for calibrating structured light scanners—a critical technology for robot perception and manipulation. His research also delves into knowledge-based robotics, where he addresses the fundamental challenge of emulating human-like cognition and expectation-driven behavior in machines. By exploring how geometric models can be integrated with higher-level reasoning, Chen has contributed to advancing intelligent robotic systems capable of more adaptive and autonomous decision-making. His work continues to inspire researchers seeking to combine precise geometric methods with the broader goal of creating truly intelligent robots that perceive, reason, and act in complex environments.