Implementation of a low-cost autonomous underwater vehicle using open source ROS components with consumer class sonar technologies. - Toni Aaltonen; M. Saarivirta; T. Kerminen; Jere Grönman (MIPRO, 2020)

Conceptual design of an autonomous rover with ground penetrating radar: application in characterizing soils using deep learning. - Petri Linna; Toni Aaltonen; A. Halla; Jere Grönman; Nathaniel Narra (MIPRO, 2020)

Review of Artificial Intelligence Applications in the ROS Ecosystem. - Jere Grönman; M. Saarivirta; Toni Aaltonen; T. Kerminen (MIPRO, 2021)

Developing a supervised machine learning model for predicting perioperative acute kidney injury in arthroplasty patients. - Okke Nikkinen; Timo Kolehmainen; Toni Aaltonen; Elias Jämsä; Seppo Alahuhta; Merja Vakkala (Comput. Biol. Medicine, 2022)

Consumer Class Side Scanning Sonar Dataset for Human Detection. - Toni Aaltonen (MIPRO, 2023)

Using Generated LIBS Data as a Base for Neural Network Architecture Development. - Juuso Lehtonen; Toni Aaltonen (MIPRO, 2023)

Developing an Open-Source Software Stack for On-Premise GPU Resource Management for Teaching in Artificial Intelligence and Deep Neural Networks. - Toni Aaltonen; Aleksi Postari (MIPRO, 2024)