Dominic Guri

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About

Dominic Guri is a robotics researcher whose work sits at the intersection of hardware acceleration, autonomous navigation, and agricultural automation. His most impactful contribution is the RACOD framework (2022, 19 citations), which introduces a novel algorithm-hardware co-design for mobile robot path planning. RACOD features CODAcc, a MapReduce-style hardware accelerator for collision detection, and RASExp, a runahead path exploration algorithm—pushing the boundaries of real-time robotic navigation efficiency. Guri has also made significant strides in precision agriculture. His 2024 paper on autonomous crop monitoring (6 citations) pioneers a contact-based phenotyping robot that directly measures nutrient deficiencies, moving beyond indirect, vision-based methods that only detect problems after visible damage occurs. Further extending this work, his Hefty platform (2024, 2 citations) introduces a modular, reconfigurable robot designed to democratize and advance robotic manipulation in agricultural settings, addressing the high capital costs that often limit research. With a clear focus on practical, deployable systems—from hardware accelerators to field-ready robots—Guri’s research is shaping the future of autonomous systems in complex, unstructured environments.