Andrew A. Dobson

Queen's University, Clearpath Robotics (Canada)

Papers

Total Citations

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About

Andrew A. Dobson is a leading researcher in robotic manipulation and autonomous systems for heavy industrial applications, with a primary focus on robotic excavation and loading. His major contributions lie in the development and field validation of admittance control strategies for large-scale mining machinery, enabling robots to interact safely and efficiently with unstructured, fragmented rock piles. Dobson’s work bridges the gap between theoretical control design and real-world deployment, as demonstrated by his most-cited paper, "Admittance Control for Robotic Loading: Design and Experiments with a 1‐Tonne Loader and a 14‐Tonne Load‐Haul‐Dump Machine" (2016, 47 citations), which details rigorous field testing of an autonomous loading controller across multiple machine scales. His subsequent paper on underground field trials with a Load-Haul-Dump vehicle (2016, 10 citations) further underscores the practical impact of his research in operational mining environments. By tackling the challenges of impedance and admittance control in heavy robotics, Dobson has advanced the state of the art in autonomous excavation, contributing to safer, more efficient mining operations. His work is essential reading for engineers and researchers in field robotics, control systems, and industrial automation.