Matthew R. Dockrey

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Total Citations

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About

Matthew R. Dockrey is a researcher whose work sits at the intersection of computer vision and robotics, with a particular focus on enabling autonomous systems to understand and interact with their environments. His most notable contribution stems from his involvement in the Semantic Robot Vision Challenge, a landmark competition that pushed the boundaries of visual search for unknown objects. Dockrey’s key paper on this topic (2009, 14 citations) not only documented the competition’s design and outcomes but also highlighted how it served as a catalyst for integrating disparate research ideas within his lab, fostering both collaboration and novel approaches. This work is especially relevant to the vision and robotics communities, as it addresses the fundamental challenge of bridging semantic understanding with real-world robotic perception. While his citation count reflects a focused, early-career impact, Dockrey’s contributions are significant for their role in shaping a benchmark problem that continues to inspire research in visual search and autonomous navigation. His work exemplifies the value of competition-driven science in advancing applied AI.