Robert Ellwood

Papers

Total Citations

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About

Dr. Robert Ellwood’s research lies at the intersection of robotic assembly, sensor integration, and dynamic modeling of miniaturized systems. His work addresses fundamental challenges in precision manufacturing, particularly the reduction of uncertainty during automated assembly through the fusion of vision and force sensing. His most-cited paper, “Vision and Force Sensing to Decrease Assembly Uncertainty” (2010), has garnered 6 citations, establishing a foundation for sensor-driven robotic control in high-tolerance environments. In a complementary study, “Analysis and Inverse Dynamic Model of a Miniaturized Robot Structure” (2010), Ellwood developed a dynamic model for small-scale robotic systems, contributing to the design of more accurate and responsive miniature manipulators. Though his citation counts are modest, his contributions are notable for their focus on practical, real-world applications in precision engineering and automation. Ellwood’s work is particularly relevant for researchers exploring sensor fusion and dynamic control in compact robotic platforms, offering insights that bridge theoretical modeling and experimental validation. His research continues to inform advancements in assembly automation and miniaturized robotics.