Breaching the boundaries of safety and intelligence in autonomous systems with risk-based rationality
This project aims to develop a comprehensive risk-based autonomy framework for autonomous systems, enhancing safety and decision-making in marine environments through advanced modeling and human supervision.
Projectdetails
Introduction
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.
Project Objectives
Therefore, this project addresses fundamental research challenges related to:
- Risk-based autonomy
- Safe and efficient shared control with human supervisors
The aim is to develop powerful risk modeling and built-in risk control solutions, closely connected to risk-based decision support for human supervisors in-the-loop.
Expected Outcomes
The outcomes of the project will allow for new, safe, and advanced types of:
- Transport
- Mapping and monitoring of oceans and land
- Inspections of structures difficult to access
Current State of Research
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.
Proposed Framework
In BREACH, I will establish such a framework constituted by:
- Quantitative risk models
- Data-driven approaches
- Simulation and model-based approaches
This framework will integrate hardware, software, human, and environmental risk elements.
Development Process
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).
Research Background
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.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 2.499.773 |
Totale projectbegroting | € 2.499.773 |
Tijdlijn
Startdatum | 1-1-2025 |
Einddatum | 31-12-2029 |
Subsidiejaar | 2025 |
Partners & Locaties
Projectpartners
- NORGES TEKNISK-NATURVITENSKAPELIGE UNIVERSITET NTNUpenvoerder
Land(en)
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Autonomous Robots with Common Sense
This project aims to develop an 'Artificial Physical Awareness' autopilot system for autonomous robots, enabling them to operate safely and effectively despite failures by understanding their limitations.
Realizing the benefits of safety-security co-analysis through effective tool support
RUBICON aims to develop a proof-of-concept software tool for integrated safety-security risk analysis in technology, enhancing decision-making through advanced algorithms and multi-objective optimization.
Intuitive interaction for robots among humans
The INTERACT project aims to enable mobile robots to safely and intuitively interact with humans in complex environments through innovative motion planning and machine learning techniques.
SUrrogate measures for SAFE autonomous and connected mobility
SUperSAFE aims to develop a proactive safety evaluation method for the interaction between conventional and connected automated vehicles to enhance traffic safety and support European zero-fatality goals.
Emerging cooperative autonomous systems: Information for control and estimation
MINERVA aims to revolutionize cooperative autonomous systems by developing a novel framework for real-time control and communication in complex environments, enhancing industrial automation.
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