Human and technology Reliability in Autonomous Systems (HU-TOMONOUS)

Call Reference: 
Short description of project idea : 
It is largely assumed that Autonomous technologies will create safer systems, as they can eliminate the involvement of people, and any subsequent “human error” that may negatively influence operations of socio-technical systems. Apart from the potential failure of automated systems, there are several challenges related to the human involvement, both directly and indirectly, with autonomous systems. Autonomous systems require human intervention, creating a new paradigm of work organization, operational skills, training needs, system trust, situational awareness, out-of-the-loop syndrome. Traditionally, research within human factors has been concerned with developing the tools for managing unsafe acts. This approach for managing the error in sociotechnical systems has two components: (i) limiting the incidence of dangerous errors and (ii) creating systems that are resilient to errors and mitigate their damaging effects. The human-centered approach directs most of its management resources to trying to make individuals less fallible, however, adherents of the system’s approach strive for comprehensive management and training programmes aimed at several different targets: the person, the team, the task, the workplace, and the institution as a whole. The aim of this project is to cultivate high reliability and resilience within organizations or (autonomous, semi-autonomous) systems operating in hazardous conditions, which have the ability to adapt and withstand its operational dangers while achieving its overall system objectives.
Universities, R&D institutions, Industries, Stockholders, Policy makers, Law-makers, SME
Main areas of expertise: 
Human Factors, Human Reliability, Simulator training, Performance assessment Safety, Human Performance Learning Autonomous systems Automated Assessment Please see
Main objectives of the project and how will they be achieved: 
The impact and role of humans in autonomous and semi-autonomous systems
The aim of the project is to develop a validated reliability analysis and predictive tool for organizations to assess the real-time reliability of human and technology operations in autonomous and semi-autonomous systems. Areas of interest for this project: - Quantify reliability of human and technological interactions (when required) in autonomous and semi-autonomous systems; - Development of a real-time predictive algorithms and performance indicators to be used to assess such systems; - Develop a tool to eventually be implemented in industry; - Simulator testing of tool and scenarios; - Real-world validation (i.e. field testing with real operators) - Development of subsequent training packages and system organization/reorganization based on better understanding of system and operator needs.
Challenges that may determine the impact of the project: 
Development, testing and validation of the tool
In order to overcome the scientific research and practical development of the reliability tool this project to ensure a high impact and success it will require input from various levels. Access to real-world operators, training facilities, organizations in high-reliability domains (process, manufacturing, energy, transport, etc.) Academic project partners with interests and expertise in human factors and complex socio-technical systems. Industrial partners with hand on on autonomous systems.
Partners that have already expressed interest in the project and expected role: 
Politecnico di Milano (POLIMI)
POLIMI is ranked the best for Engineering and among the top big universities in Italy and is ranked as the 20th best technical university in the world according to the QS World University Rankings. PoliMi’s Chemical Engineering Department (CMIC) is Italy’s best (according to the ANVUR ranking of Italian universities and departments) and is Italy’s largest institution for Engineering, Architecture and Industrial Design. The Politecnico di Milano is ranked as one of the most outstanding European universities for Engineering, Architecture and Industrial Design. In many disciplines it is regarded as a leading research institution worldwide.
Profile of partners sought and expected role: 
Please see description
This project will require a multidisciplinary team consisting of experts from the following areas, but not limited to: - Safety and risk assessment, - Human factors - Resilience engineering - Computer programming - Machine learning - Human Reliability - Autonomous Systems - Modelling and simulation Research groups which are already working with Autonmous system can add synergy to the ideas shared in this here. Industrial partners interested in this area will be contacted accordingly.
Specific countries/regions/cities you are keen to collaborate with: 
Sweden, Denmark, Italy, France, Germany, Poland,
First Name: 
Last Name: 
Name of the organisation: 
University College of Southeast Norway
Short description of organisation: 
University College of Southeast Norway (USN) is Norway’s second largest University College in terms of student population: approximately 18,000 students and 1,500 employees. USN consists of 4 faculties that offers 8 doctoral programs, 44 master courses and 88 bachelor courses. USN is responsible for the Norwegian government project MARKOM 2020 to increase recruitment and quality of maritime R&D and education as the largest maritime higher education institution in Norway. USN is also member the global network of leading maritime universities providing Maritime Education and Training.

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