Papers

7

Total Citations

219

H-Index

5

About

Trygve Utstumo is a leading figure in agricultural robotics, whose work is transforming how we approach precision weeding and autonomous field operations. His research centers on the intersection of robotic navigation, control systems, and precision chemical application for sustainable agriculture. Utstumo’s most impactful contribution is his seminal 2018 paper on robotic in-row weed control in vegetables, which has garnered over 160 citations, establishing a foundational framework for autonomous weeding in high-value crops. He has also made significant advances in constrained robot navigation, developing non-linear model predictive control strategies that allow robots to follow established wheel tracks in row crops without damaging plants. A pioneer in precision application, his work on drop-on-demand herbicide systems—controlling individual droplets through advanced nozzle arrays—demonstrates a commitment to minimizing chemical use. Further technical achievements include novel sensor fusion methods for delayed displacement measurements and attitude estimation tailored to the challenging conditions of agricultural fields. From autonomous laser-based N₂O flux measurement to line-of-sight path-following for input-constrained robots, Utstumo’s portfolio reflects a deep, systems-level engagement with the practical challenges of field robotics.

Research Focus

Key Achievements

5
H-Index
7
Papers
219
Total Citations
31
Avg Citations/Paper
🏆 Most Cited Paper
Robotic in-row weed control in vegetables
160 citations · 2018
📈 Most Prolific Year: 2014 (2 Papers)
🤝 Key Collaborators: 20
🏛 Institutions: Norwegian University of Science and Technology, Adigo (Norway), CognIT (Norway)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago