Bensheng Guo

State Key Laboratory of Robotics and Systems

Papers

Total Citations

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About

Bensheng Guo is a researcher specializing in space robotics, computer vision, and 3D reconstruction, with a focus on enabling autonomous on-orbit servicing and maintenance. His most cited work introduces a pioneering 6D-ICP (Iterative Closest Point) approach that integrates stereo vision and optical flow for simultaneous 3D reconstruction and motion estimation of unknown, non-cooperative targets—such as defunct satellites or space debris. By employing Harris corner detection for robust feature tracking across monocular camera streams, Guo’s method addresses critical challenges in close-proximity operations, including target uncertainty and lack of prior models. This contribution, published in 2016 and garnering 10 citations, has significant implications for future space missions requiring safe, autonomous interaction with uncooperative objects. Guo’s research bridges the gap between theoretical computer vision algorithms and practical robotic applications in extreme environments, offering a foundation for advancements in space debris removal, satellite repair, and in-orbit assembly. His work is particularly valuable for students and researchers exploring real-time state estimation and 3D mapping in resource-constrained, high-stakes scenarios.