Jian-Feng Shi
Papers
4
Total Citations
57
H-Index
3
About
Dr. Jian-Feng Shi is a leading researcher in autonomous space robotics, whose work bridges reinforcement learning, computer vision, and adaptive control for next-generation orbital operations. His most impactful contribution is a novel path-planning framework for 6-DOF free-floating space robotic manipulators, which leverages Deep Deterministic Policy Gradient-based reinforcement learning. This work, published in 2024 and already garnering 27 citations, introduces a custom reward function that ensures efficient manipulation in the unique dynamics of microgravity—a critical step toward autonomous satellite servicing and debris removal. Dr. Shi has also made foundational advances in uncooperative spacecraft pose estimation, developing a method that uses a single infrared camera and the SoftPOSIT algorithm to determine a target’s orientation during proximity operations (15 citations). His adaptive attitude control methodology, designed for the challenging scenario of a space station free-flyer capturing a robotic target, handles large dynamic uncertainties without requiring precise system models (12 citations). Further, his comparative study of thermal camera feature descriptors for robot navigation introduced a novel non-Gaussian binary descriptor, expanding the toolkit for vision-based autonomy in low-light or high-contrast space environments. Dr. Shi’s work is defining the algorithms that will enable robots to work safely and intelligently alongside—and eventually without—human astronauts.
Research Focus
Key Achievements
Top Papers
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