Papers
11
Total Citations
442
H-Index
9
About
Patrick Ross is a leading researcher in agricultural robotics, with a primary focus on vision-based navigation and obstacle detection for broad-acre farming. His work addresses the pressing need for sustainable intensification of agriculture through the development of cost-effective autonomous robots that can replace large, complex machinery. Ross's major contributions include pioneering vision-based guidance systems that use texture tracking and novelty detection to navigate challenging crop rows and identify obstacles in ambiguous field environments—solving problems where traditional segmentation and stereo vision fail. His most-cited paper, "Vision‐Based Obstacle Detection and Navigation for an Agricultural Robot" (2016), has garnered 152 citations, underscoring its impact on the field. Ross has also advanced low-cost localization methods resilient to sensor failure and developed novel approaches to analyze lighting variance for robust descriptor matching. His work is widely recognized for its practical implications, as highlighted in the article "Farm Workers of the Future: Vision-Based Robotics for Broad-Acre Agriculture" (2017). Through these innovations, Ross is helping to pave the way for a future where fleets of small, intelligent robots can sustainably meet global food production demands.
Research Focus
Key Achievements
Top Papers
- 1Vision‐based Obstacle Detection and Navigation for an Agricultural Robot152 citations · 2016
- 2Vision based guidance for robot navigation in agriculture89 citations · 2014
- 3Robotics for Sustainable Broad-Acre Agriculture50 citations · 2014
- 4Farm Workers of the Future: Vision-Based Robotics for Broad-Acre Agriculture48 citations · 2017
- 5Novelty-based visual obstacle detection in agriculture24 citations · 2014
- 6Online novelty-based visual obstacle detection for field robotics23 citations · 2015
- 7Learning crop models for vision-based guidance of agricultural robots22 citations · 2015
- 8Low Cost Localisation for Agricultural Robotics17 citations · 2013
- 9A novel method for analysing lighting variance11 citations · 2013
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