Towards Autonomous Industrial-Scale Bathymetric Surveying. - Ignacio Torroba; Nils Bore; John Folkesson (IROS, 2019)

PointNetKL: Deep Inference for GICP Covariance Estimation in Bathymetric SLAM. - Ignacio Torroba; Christopher Iliffe Sprague; Nils Bore; John Folkesson (IEEE Robotics Autom. Lett., 2020)

Fully-probabilistic Terrain Modelling with Stochastic Variational Gaussian Process Maps. - Ignacio Torroba; Christopher Iliffe Sprague; John Folkesson (CoRR, 2022)

Online Stochastic Variational Gaussian Process Mapping for Large-Scale SLAM in Real Time. - Ignacio Torroba; Marco Chella; Aldo Teran; Niklas Rolleberg; John Folkesson (CoRR, 2022)

Fully-Probabilistic Terrain Modelling and Localization With Stochastic Variational Gaussian Process Maps. - Ignacio Torroba; Christopher Iliffe Sprague; John Folkesson (IEEE Robotics Autom. Lett., 2022)

A System for Autonomous Seaweed Farm Inspection with an Underwater Robot. - Ivan Stenius; John Folkesson; Sriharsha Vishnu Bhat; Christopher Iliffe Sprague; Li Ling; Özer Özkahraman; Nils Bore; Cong Zheng; Josefine Severholt; Carl Ljung; Anna Arnwald; Ignacio Torroba; et al. (Sensors, 2022)

Data-driven Approaches to Uncertainty Modelling for SLAM in the Open Sea. - Ignacio Torroba (2022)

Data-driven Loop Closure Detection in Bathymetric Point Clouds for Underwater SLAM. - Jiarui Tan; Ignacio Torroba; Yiping Xie; John Folkesson (ICRA, 2023)

Online Stochastic Variational Gaussian Process Mapping for Large-Scale Bathymetric SLAM in Real Time. - Ignacio Torroba; Marco Cella; Aldo Teran; Niklas Rolleberg; John Folkesson (IEEE Robotics Autom. Lett., 2023)

Efficient Non-Myopic Layered Bayesian Optimization For Large-Scale Bathymetric Informative Path Planning. - Alexander Kiessling; Ignacio Torroba; Chelsea Sidrane; Ivan Stenius; Jana Tumova; John Folkesson (CoRR, 2024)