Guang Qi Cai

Hong Kong University of Science and Technology, Northeastern University

Papers

Total Citations

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About

Guang Qi Cai is a researcher at the forefront of 3D perception and robotic systems, with key contributions spanning sensor fusion, point cloud processing, and parallel robotics. His most cited work, "OmniColor: A Global Camera Pose Optimization Approach of LiDAR-360Camera Fusion for Colorizing Point Clouds" (2024, 8 citations), introduces a novel method for generating high-fidelity colored point clouds by globally optimizing camera poses in LiDAR-360° camera systems. This innovation directly addresses critical challenges in robotic navigation and 3D scene reconstruction, offering a simple yet efficient representation that enhances spatial understanding. Cai’s earlier foundational research, "Dynamics Simulation Analysis of Flexible Multibody of Parallel Robot" (2007, 7 citations), demonstrates his long-standing expertise in mechanical systems, where he employed multibody dynamics and finite element analysis to model flexible parallel robots. By bridging classical robotics dynamics with modern sensor fusion techniques, Cai’s work has practical implications for autonomous systems, mapping, and digital twin creation. His ability to integrate theoretical modeling with applied optimization makes his research highly relevant for students and engineers working on next-generation perception and robotics platforms.