Publications

ai4manufacturing|digital intelligence assistant predictive maintenance

Hybrid-augmented intelligence in predictive maintenance with digital intelligent assistants

A Scientific Paper extracted from the Coala Project Publications page, that has received funding from the European Union’s Horizon 2020 research and innovative programme under grant agreement nr. 957296 Digital Intelligence Assistants Industrial maintenance strategies increasingly rely on artificial intelligence to predict asset conditions and prescribe maintenance actions. The related maintenance software and human maintenance actors […]

ai4manufacturing|digital assistant

Intelligent Cognitive Assistance for Manufacturing

The Coala Project An introduction to the Coala Project, that has received funding from the European Union’s Horizon 2020 research and innovative programme under grant agreement nr. 957296 The COALA project aims to support new workers in knowledge-intensive manufacturing processes, where the production plans are short-timed and workers must quickly realise them while maintaining the product […]

ai4manufacturing|manufacturing digital twin adv post for paper

Towards a Circular Rotating Blade Wear Assessment Digital Twin for Manufacturing Lines

by Kerman López de Calle; Eider Garate Perez; Aitor Arnaiz April 2022 Abstract: Circular blades are well known in sawmills and other fabrication sites such as tyre industries. The cutting process produces wear on the blades which gradually decreases the quality of the goods being cut, and, eventually, it might cause the stoppage of the […]

Towards accountability in the use of Artificial Intelligence for Public Administrations

Towards accountability in the use of Artificial Intelligence for Public Administration by Michele Loi, Matthias Spielkamp Abstract: We argue that the phenomena of distributed responsibility, induced acceptance, and acceptance through ignorance constitute instances of imperfect delegation when tasks are delegated to computationally driven systems. Imperfect delegation challenges human accountability. We hold that both direct public […]

ai4manufacturing|Human-Augmented Prescriptive Analytics

Human-Augmented Prescriptive Analytics

Human-Augmented Prescriptive Analytics With Interactive Multi-Objective Reinforcement Learning Lepenioti, K., Bousdekis, A., Apostolou, D., & Mentzas, G. Date of Publication: 12 July 2021 Abstract: The rise of Artificial Intelligence (AI) enables enterprises to manage large amounts of data in order to derive predictions about future performance and to gain meaningful insights. In this context, descriptive and […]

ai4manufacturing|trusted artificial intelligence

Trusted Artificial Intelligence in Manufacturing

A Review of the Emerging Wave of Ethical and Human Centric AI Technologies for Smart Production STAR project first Open Access Book Publication Date: 22 Nov 2021 Suggested Citation: John Soldatos (ed.), Dimosthenis Kyriazis (ed.) (2021), “Trusted Artificial Intelligence in Manufacturing: A Review of the Emerging Wave of Ethical and Human Centric AI Technologies for Smart […]

ai4manufacturing|digital assistant with human face

Anatomy of a Digital Assistant

Anatomy of a Digital Assistant Why is it helpful to have a digital assistant? Mobility, voice interaction, the delegation of administrative tasks, and rapid data analysis are typical benefits, but they are not exclusive to digital assistants. Understanding an assistant’s benefits helps assistant designers and decision-makers who need to assess whether an assistant is a […]

ai4manufacturing|robot performing augmented analytics in front of a display

Human-AI Collaboration in Quality Control with Augmented Manufacturing Analytics

Human-AI Collaboration in Quality Control with Augmented Analytics in Manufacturing Augmented analytics is an emerging topic which deals with the enhancement of analytics with conversational interfaces, as well as the exploitation of the human knowledge representation through intelligent digital assistants allowing users to easily interact with data and insights. The communication with the user by […]

ai4manufacturing| digital screen with business people in the backfor human ai decision making

Data-Driven Collaborative Human-AI Decision Making

Data-Driven Collaborative Human-AI Decision Making Business analytics use advanced techniques that can analyze and process large and diverse data sets in order to generate valuable insights and lead to better business decisions. This paper aims to address two limitations of existing approaches in prescriptive analytics: (i) the lack of a transparent integration between predictive and […]

ai4manufacturing|businessman with digital tablet for human augmented analytics

Human-Augmented Prescriptive Analytics With Interactive Multi-Objective Reinforcement Learning

The rise of Artificial Intelligence (AI) enables enterprises to manage large amounts of data in order to derive data-driven predictions about future performance and to gain meaningful insights. In this context, descriptive and predictive analytics has gained a significant research attention. The proposed approach of Human-Augmented Prescriptive Analytics With Interactive Multi-Objective Reinforcement Learning has been […]

ai4manufacturing|ai letters in blu with human face silhouette as a digital assistant

Concept of a Voice-Enabled Digital Assistant for Predictive Maintenance in Manufacturing

Voice-enabled digital assistant finds its perfect application within manufacturing processes, including maintenance functions, problem solving, task execution, monitoring, reporting, planning, training. All of these innovations are capable of transforming this industrial sector, like all the others, in a group of smart manufacturing industries. The digital voice assistant systems, as well as all digital systems related […]