Ignacio Torroba

KTH Royal Institute of Technology

Papers

4

Total Citations

78

H-Index

4

About

Ignacio Torroba is a leading researcher at the forefront of marine robotics, specializing in autonomous underwater vehicles (AUVs) for aquaculture and environmental monitoring. His work centers on developing cyber-physical systems that enable "hydrobatic" AUVs—vehicles that combine efficient long-range travel with agile, close-quarters maneuvering. Torroba’s most impactful contribution is a system for autonomous seaweed farm inspection, addressing the operational challenges of a rapidly growing aquaculture industry on the Swedish west coast. This work, published in 2022, has already garnered 29 citations, reflecting its immediate relevance. He has also advanced probabilistic terrain modelling using stochastic variational Gaussian process maps (15 citations), providing reliable uncertainty measures critical for robust robot localization. His 2020 paper on system integration for hydrobatic AUVs (25 citations) demonstrates real-world field deployments, while his earlier work on submap registration methods for multibeam bathymetric mapping (9 citations) laid groundwork for precise underwater survey path planning. Torroba’s research bridges theory and practice, enabling AUVs to operate reliably in complex, unstructured ocean environments—a key step toward sustainable ocean production and environmental sensing.

Research Focus

Key Achievements

4
H-Index
4
Papers
78
Total Citations
20
Avg Citations/Paper
🏆 Most Cited Paper
A System for Autonomous Seaweed Farm Inspection with an Underwater Robot
29 citations · 2022
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 15
🏛 Institutions: KTH Royal Institute of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago