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Breaching the boundaries of safety and intelligence in autonomous systems with risk-based rationality

Project description

A human-like perception system for marine applications

Developing autonomous marine systems that can thoroughly assess and model risks would enable them to behave more intelligently, interact safely in unstructured environments and foster public trust. Currently, human-like risk perception is missing in decision-making and control in such systems. The ERC-funded BREACH project will tackle this challenge by focusing on risk-based autonomy and shared control with human supervisors. The goal is to create powerful risk modelling and control solutions, closely connected to risk-based decision support for human supervisors. Project outcomes should enable safer, advanced transport, ocean and land monitoring and careful instrument inspections. Researchers also aim to establish a framework combining quantitative risk models with data-driven and simulation approaches.

Objective

Autonomous systems able to comprehensively assess and model risks would be a scientific breakthrough leading to highly intelligent system behaviors, safe interactions in unstructured environments, and public trust. Currently, risk perception is an important part of human cognition not adequately implemented in the situation awareness, control and decision-making of autonomous systems. Therefore, this project addresses fundamental research challenges related to risk-based autonomy and safe and efficient shared control with human supervisors. The aim is to develop powerful risk modelling and built-in risk control solutions, closely connected to risk-based decision support for human supervisors in-the-loop. The outcomes of the project will allow for new, safe, and advanced types of transport, mapping and monitoring of oceans and land, and inspections of structures difficult to access. Although there are a few preliminary concepts coupling risk models with control algorithms and artificial intelligence (AI), a fundamental framework providing risk-based control and decision support – for both the autonomous system and human supervisors – does not exist. In BREACH, I will establish such a framework constituted by quantitative risk models merged with data-driven approaches, simulation and model-based approaches, integrating hardware, software, human, and environmental risk elements. The complexity of the framework will gradually evolve in two parallel tracks along with demonstrations for mission planning and execution for autonomous marine “organizations”. The focus on marine systems is due to the demanding challenges in that domain, and my knowledge and experience as a researcher in the Centre of Excellence on Autonomous Marine Operations and Systems (NTNU AMOS). For several years, I have contributed to fundamental research related to risk management of autonomous marine systems, which has convinced me that this project will be a major leap forward with great impact.

Fields of science (EuroSciVoc)

Keywords

Programme(s)

Topic(s)

Funding Scheme

HORIZON-ERC - HORIZON ERC Grants

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Call for proposal

(opens in new window) ERC-2023-ADG

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Host institution

NORGES TEKNISK-NATURVITENSKAPELIGE UNIVERSITET NTNU
Net EU contribution
€ 2 499 773,00
Address
HOGSKOLERINGEN 1
7491 Trondheim
Norway
Region
Norge Trøndelag Trøndelag
Activity type
Higher or Secondary Education Establishments
Links
Total cost
€ 2 499 773,00

Beneficiaries (1)