Eric Nettleton
Australian Centre for Robotic Vision, The University of Sydney
Papers
9
Total Citations
132
H-Index
6
About
Eric Nettleton is a leading researcher in field robotics, with a primary focus on autonomous systems for mining and large-scale terrain modeling. His most significant contributions lie in the application of Gaussian processes (GP) to create statistically rigorous, probabilistic models of complex, unstructured environments. He pioneered the use of heteroscedastic GPs for data fusion, enabling robots to intelligently combine information from multiple, noisy sensors into a coherent terrain map that explicitly handles uncertainty and incompleteness. This foundational work, including his most cited paper on "Gaussian Process modeling of large scale terrain" (58 citations), has been critical for deploying autonomous ground vehicles in real-world settings. Beyond terrain, Nettleton has advanced perception for autonomous mining, developing systems for geological structure detection using gamma logs and hyperspectral libraries to identify materials. His research has directly supported the vision of a fully autonomous mine, as highlighted in his work "A Mine on Its Own." With a career spanning from probabilistic modeling to novel radar antenna design, Nettleton’s work has been instrumental in bridging the gap between theoretical robotics and practical, large-scale field deployment.
Research Focus
Key Achievements
Top Papers
- 1Gaussian Process modeling of large scale terrain58 citations · 2009
- 2
- 3
- 4On the development of a hyperspectral library for autonomous mining systems12 citations · 2009
- 5A geological perception system for autonomous mining8 citations · 2012
- 6Detection of geological structure using gamma logs for autonomous mining6 citations · 2011
- 7Development of a dual-mirror-scan elevation-monopulse antenna system4 citations · 2011
- 8
- 9A Mine on Its Own2 citations · 2010