Videos

COALA Introduction

COALA – A Trustworthy Voice-Enabled Digital Assistant for the Manufacturing Industry

Introduction video of COALA project and its offered solution.

COALA aims to develop a human-centred Digital Intelligent Assistant that provides a more proactive and pragmatic approach to support operative situations characterized by cognitive load, time pressure, and little or zero tolerance for quality issues. The COALA solution will transform how workers perform their jobs and it allows companies to maintain or increase the quality of their production processes and their products.

COALA Features

COALA Why Engine Prototype for Explainable AI in Manufacturing Industry

Jan 2023, this video shows how to access and use the Why Engine Prototype. Why Engine is a new, experimental solution component, that will allow the COALA Digital Intelligent Assistant (DIA) to answer “why” questions concerning advice and predictions provided by the DIA. Explainability will increase trust in the applied AI-based functions.

More details about the Why Engine Prototype are available here.

COALA Didactic Concept – Implementation in the Textile Production Use Case

Dec 2022, this video shows a process-oriented didactic concept for the training and further education through using a voice-based assistant, the COALA Digital Intelligent Assistant.

The aim is to present a structured element for implementation within internal training and further education processes to meet the requirements of the respective use cases. This video gives an overview of implementation of COALA didactic concept in the textile production use case.

Presentation Recordings

COALA at AI-Cafe – Applying Digital Intelligent Assistants in Manufacturing

16 Feb 2022, presentation of COALA at AI-Cafe by Stefan Wellsandt from BIBA. It mainly addresses topics such as how digital intelligent assistants could support workers in factories as well as their challenges, disadvantages and limitations.

The AI-Cafés are being organised and hosted by Grassroots Arts as part of the H2020 project – AI4media activities.

Human AI Collaboration in Quality Control with Augmented Manufacturing Analytics

5 – 9 Sept 2021, APMS 2021 conference on AI for Sustainable and Resilient Production Systems within the session “Human-centered Artificial Intelligence in Smart Manufacturing for the Operator 4.0“.

Presentation of “Human-AI Collaboration in Quality Control with Augmented Manufacturing Analytics” paper, co-authored by Alexandros Bousdekis (ICCS), Stefan Wellsandt (BIBA), Enrica Bosani (WHR), Katerina Lepenioti (ICCS), Dimitris Apostolou (ICCS), Karl Hribernik (BIBA), and Gregoris Mentzas (ICCS).

Anatomy of a Digital Assistant

Why is it helpful to have a digital assistant in manufacturing? Stefan Wellsandt from BIBA presents an overview of a preliminary catalog of these benefits in manufacturing. The paper “Anatomy of a Digial Assistant” is co-authored by Stefan Wellsandt, Karl Hribernik and Klaus-Dieter Thoben (BIBA).

Data-driven Collaborative Human-AI Decision Making

1 – 3 Sept 2021, 20th IFIP Conference e-Business, e-Services, and e-Society I3E2021 on “AI & Analytics Decision Making”.

Presentation of the paper entitled “Data-driven Collaborative Human-AI Decision Making”. A framework by taking account human experience using interactive reinforcement learning algorithms and a concrete approach for data-driven human-AI collaboration were presented by Gregoris Mentzas from ICCS.

COALA Digital Intelligent Assistant in Quality Control of White Goods

20-21 May 2021, 2^nd Smart Manufacturing Summit.

Enrica Bosani, Manufacturing R&D Project Manager of Whirlpool Corporation, presented potential benefits of implementing the COALA solution in quality control of white goods. The Whirlpool use case is focused on the implementation of the COALA Digital Intelligent Assistant (DIA) to support the activity in the Zero Hour Testing (ZHT) laboratory of the Microwave and Oven (MWO) factory.