Research and development projects undertaken with the participation of Mindchip OÜ:
CERTIFAI Agile Conformance Assessment For Cybersecurity CERTIFication Enhanced By Artificial Intelligence
1.09.2023 − ongoing
CERTIFAI project emerges as an innovative solution to create an open software framework employing AI-driven, cost-efficient continuous assessment and (re-)certification methods specifically tailored for ICT products, processes, and services. The CERTIFAI framework incorporates crucial elements aligned with the ENISA Cybersecurity Threat Landscape Methodology. CERTIFAI will undergo evaluation and demonstration across four distinct use cases (Mindchip ASV as one of them), offering an open resource for the EU’s research and industry communities. By enabling lean re-certification processes, CERTIFAI empowers manufacturers to proactively prevent, detect, counter, and respond swiftly to cyber threats, fostering a more secure and trustworthy digital environment within the European Union.
VEU22026IA1 AIRE “Artificial captain algorithms and sensor fusion”
1.02.2023−31.10.2023
Principal Investigator: Karl Janson; Tallinn University of Technology, School of Information Technologies, Department of Computer Systems; Financier: AI and Robotics Estonia (EDIH).
The aim of the project was to develop and test intelligent navigation algorithms that can be used on autonomous robotic vessels. The project consisted of three main components:
1) Fusion of on-board sensors and mapping of the environment using sensors.
2) Creation and testing of intelligent navigation algorithms.
3) Creation of a simulation environment for easier and safer testing of navigation algorithms.
SLTMI20438T (PRIA 811020790013) “Development of an autonomous research vessel for economical commercial fishery and fisheries research.”
1.10.2020−30.06.2023
Principal Investigator: Elor Sepp; University of Tartu, Faculty of Science and Technology, Estonian Marine Institute; Financier: Estonian Agricultural Registers and Information Board
The aim of the project was to develop an autonomous research vessel for commercial fishery and fisheries research.
F21029 “Developing a technology for pre-programmed autonomous open-water tests for vessels”;
2021 – 2023
Principal Investigator: Ingrid Tilts; Tallinn University of Technology , School of Engineering, Kuressaare College; Financier: Riigi Tugiteenuste Keskus.
Developing a technology for pre-programmed autonomous open-water tests for full-size vessels is the core of this university-business cooperation project. Carrying out tests is preceeded by developing: pre-programmed manouvering, situation awareness capacity, equipment kit for data gathering and recording, software tool for data analysis and report production. The research staff and specialists from both TalTech and the company Baltic Workboats work in close cooperation during the whole development process.
RIMA – Robotics for Inspection and Maintenance Project .
2021 – 2022
The applied research project was run jointly with MEC Insenerilahendused OÜ and Birkle IT Estonia OÜ. The project received funding from the European Union’s Horizon 2020 research and innovation programme within the framework of the RIMA – Robotics for Inspection and Maintenance Project funded under grant agreement No [824990].
EAG103 “Modular Control System and Digital Twin of an Autonomous Robot Ship
2021 – 2022
Principal Investigator: Heigo Mõlder; Tallinn University of Technology , School of Engineering, Department of Electrical Power Engineering and Mechatronics; Financier: Estonian Research Council. As a result of the project, a very important interface for an autonomous robot ship was created, which visualizes what is happening inside and around the robot ship. As the most important results of the project, a two-way data communication based on MQTT messages was created between the server and the robot ship, which allows for real-time graphs to display, for example, the change in wind speed over time, the change in ship speed over time, the change in battery current and voltage over time, the position of the robot ship, the camera image, etc. A visual interface was created for the robot ship operator from the ARPA calculator, which deals with collision prediction and avoidance analysis of the robot ship. In addition, a seabed depth display map application was created that can be displayed to the harbor capten, an energy consumption prediction model, a proactive wind effects prediction model and a hydrodynamics prediction model were created.
Proof of Concept of Energy Efficient Universal Autonomous Surface Vessel
2018 – 2020
Within the develop a next generation autonomous surface vehicle was developed. The applied research project was run jointly with MEC Insenerilahendused OÜ, Hyrles OÜ and TalTech. The output of the applied research project will be a universal, autonomous workboat prototype platform with the required software that has readiness for the four applications: oil spill detection and clean-up, collection of waste, sea monitoring and data collection, transportation. As the ASV should have a more efficient energy management system and improved operational capabilities, the latest power electronics, energy management, and embedded control systems know-how will be applied. In the frame of the project, the platform will be tested in a relevant (controlled) environment.
Development of platform for an autonomous surface vessel and to assess its capabilities to fulfil independent missions
2018 – 2019
Project implemented in cooperation with MEC Insenerilahendused OÜ, Small Craft Competence Centre of TalTech and Composite Plus OÜ.
Technical feasibility study of autonomous service vessel
2017
Technical feasibility study of autonomous service vessel conducted in cooperation with MEC Insenerilahendused OÜ, Small Craft Competence Centre of TalTech. The study has been conducted to investigate the possible applications and technical requirements of autonomous service vessels
