Jeremy A. Luckett
Papers
2
Total Citations
21
H-Index
2
About
Jeremy A. Luckett is a researcher specializing in machine vision and autonomous robotic systems for space applications. His work focuses on developing pose estimation systems—techniques for determining the precise position and orientation of objects—critical for the autonomous capture and servicing of satellites. Luckett’s major contributions include pioneering the use of multiple visual features, such as corners, lines, and ellipses, to improve the reliability of satellite grasping by robotic arms. In his most cited work, "Comparison of Three Machine Vision Pose Estimation Systems Based on Corner, Line, and Ellipse Extraction for Satellite Grasping" (2012, 12 citations), he systematically evaluated these feature extraction methods, demonstrating their strengths in tracking distinct satellite components like bolts and interface rings. He further validated these techniques in "Experimental Evaluation of a Machine Vision Based Pose Estimation System for Autonomous Capture of Satellites with Interface Rings" (2013, 9 citations), using a 1.22-meter diameter ring and wide-angle lens to simulate real-world conditions. Though his citation counts are modest, Luckett’s research is foundational for on-orbit servicing and debris removal, offering practical, experimentally verified solutions that advance the autonomy of space robotics.
Research Focus
Key Achievements
Top Papers
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