Scott Shaw

Papers

Total Citations

H-Index

About

Scott Shaw is a pioneering researcher in sensor fusion and robotic vision for space applications. His work centers on integrating radar and optical sensors to enable autonomous 3D shape extraction of space objects—a critical capability for space-based robotic operations. Shaw's most influential contribution, "Fusion of radar and optical sensors for space robotic vision" (2003, 23 citations), introduces an iterative algorithm that uses returned radar power estimates to reconstruct 3D surfaces, demonstrated through simulations of flat plate edges. This foundational work addresses the challenge of providing robots with sophisticated vision systems for remote, unstructured space environments. Earlier, in "Microwave And Video Sensor Fusion For The Shape Extraction Of 3D Space Objects" (1987, 2 citations), Shaw laid the groundwork for multi-sensor approaches that combine microwave and video data to generate three-dimensional information about workspace objects. While his citation counts reflect a niche but specialized field, Shaw's contributions are notable for their forward-thinking integration of disparate sensor modalities, directly supporting the development of autonomous space robotics. His research remains relevant for engineers and scientists working on satellite servicing, debris removal, and in-space assembly, where reliable 3D perception is essential.