Max Robotics — Global Service Robot Directory + US Certification

About

Qi Sun’s research bridges robotics, computer vision, and 3D scene understanding, with a focus on deep learning for object pose estimation, point cloud analysis, and reconfigurable robotic systems. His most impactful work, a comprehensive survey on monocular object pose detection and tracking (108 citations), synthesizes deep learning advances for autonomous driving, robotics, and augmented reality, establishing a key reference in the field. Sun also contributed the CSPC-Dataset (33 citations), a large-scale LiDAR point cloud benchmark for semantic segmentation, enabling more robust scene interpretation. In robotics, his analysis of a reconfigurable Rubik’s snake robot (30 citations) demonstrates how modular systems can adapt to unpredictable environments, showcasing his versatility across theoretical and applied domains. More recently, his 2025 work on multi-scale state space modeling and edge graph augmentation pushes point cloud analysis further, hinting at ongoing innovation. With over 178 total citations across these papers, Sun’s research has shaped both foundational datasets and practical algorithms, making him a notable figure in 3D perception and modular robotics—a researcher whose work directly impacts how machines see and interact with the world.