Tobias Low

University of Southern Queensland

Papers

9

Total Citations

230

H-Index

6

About

Tobias Low is a leading researcher in agricultural robotics and autonomous navigation systems, with a career spanning precision agriculture, environmental monitoring, and food processing automation. His most influential work, "Orchard mapping and mobile robot localisation using on-board camera and laser scanner data fusion – Part A: Tree detection" (104 citations), established foundational methods for fusing vision and LiDAR sensors to detect tree trunks and build accurate orchard maps—enabling robots to navigate semi-structured agricultural environments reliably. Low’s comprehensive "Review of autonomous navigation systems in agricultural environments" (46 citations) remains a key reference for researchers entering the field, synthesizing advances in sensors, computing, and guidance systems. He has also pioneered applications in red meat processing, with his 2023 review (27 citations) and feasibility study on tactile sensing for robotic meat cutting (12 citations) addressing critical challenges in food automation. Additional contributions include plant branch segmentation using vesselness measures (13 citations) and autonomous air quality monitoring in livestock buildings. Low’s work demonstrates a sustained commitment to deploying mobile robots in complex, real-world agricultural and industrial settings, bridging perception, navigation, and manipulation to improve efficiency and safety.

Research Focus

Key Achievements

6
H-Index
9
Papers
230
Total Citations
26
Avg Citations/Paper
🏆 Most Cited Paper
Orchard mapping and mobile robot localisation using on-board camera and laser scanner data fusion – Part A: Tree detection
104 citations · 2015
📈 Most Prolific Year: 2013 (3 Papers)
🤝 Key Collaborators: 16
🏛 Institutions: University of Southern Queensland

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago