Privacy Policy
The AI-PRISM project is committed to protecting your privacy and is developing technology that gives you the most powerful and safe online experience. This Statement of Privacy applies to the website of the AI-PRISM HEurope project (Grant Agreement No 101058589) and governs data collection and usage. The Website falls under the responsibility of the AI-PRISM Consortium. It concerns the dissemination and exchange of information about the research conducted during the project and the outcome of this work. By using the Website of the AI-PRISM project, you consent to the data practices described in this statement.
This Privacy Policy applies to this Website https://www.ai-prism.eu/ regardless of whether you use a computer, mobile phone, tablet, TV or another device.
Unless stated otherwise in detail in the relevant sections of the Website, Personal Data generated from the use of our Website is processed as follows:
(i) Contact via electronic mail (e-mail)
Should you choose to communicate with us via email, we invite you to provide your name, as well as your mailing address. Please note that your name and mailing address is the only data we collect required for the specified purpose. Without this information, we are unable to answer your message and address it to you personally. The legal basis for processing Personal Data for the purposes set out in this Section 2 is art. 6(1)(b) of GDPR as the processing is necessary for the response to requests from the interested party.
(ii) Social Media
Some of our web pages use social plug-ins from other organizations (such as Twitter’s retweet function). These other organizations may receive and use personal data about your visit to our sites or apps. If you browse our Website or view content on our apps, the information they collect may be connected to your account on their site. Please read their privacy policies for more information on how these organizations use personal data.
(iii) Site visitation tracking
We use Google Analytics (GA) to track user interaction and for statistical reasons. We use this data to determine the number of people using our site, to understand better how they find and use our web pages and to see their journey through the website.
Although GA records data such as your geographical location, device, internet browser and operating system, none of this information personally identifies you to us. Your computer’s IP address is anonymized by GA services and cannot be used to identify you personally. We consider Google to be a third party.
GA uses cookies, details of which can be found on Google’s developer guides. For your information, our Website uses the analytics.js implementation of GA. Disabling cookies on your internet browser will stop GA from tracking any part of your visit to pages within this website.
If you submit your contact details via the preferred email message, the only personal data that will be stored is your name and email address we receive from you. We will not share your contact details with anyone, and will be securely stored by AI-PRISM with access only by authorized personnel. This is currently the only occasion where this Website will store personal data.
We utilize state-of-the-art technology to store your data. The following safeguards are used, for example, to protect your personal data from misuse or any form of unauthorized processing:
We will keep your personal information only for as long as it is relevant and useful for the intended purpose for which it was originally collected, or as required by law.
Cookies are small text files that websites can use to make a user’s experience more efficient. Our Website does not collect any cookies apart from the necessary ones.
You reserve the right to set up your browser to warn you before accepting cookies, or you can set it to refuse them, although you may not have access to this website’s features if you do so. See your browser’s ‘help’ button for how you can do this. You do not need to have cookies on to use or navigate through many parts of this Website. Remember that if you use different computers in different locations, you will need to ensure that each browser is adjusted to suit your cookie preferences.
We will report any unlawful data breach of your data within 72 hours of the breach if it is apparent that personal data stored in an identifiable manner has been stolen.
Under the General Data Protection Regulation [Articles 15-21], you have a number of important rights free of charge. In summary, those include rights to:
Right of access:
You have the right to be aware of and verify the legitimate nature of the processing. So, you have the right to access your personal data and receive additional information about how we process it.
Right to rectification:
You have the right to study, correct, update or modify your personal data by contacting AI-PRISM at contact@australo.org
Right to erasure (right to be forgotten):
You have the right to request the deletion of your personal data when we process it with your consent or to protect our legitimate interests. In all other cases (such as, where there is a contract, obligation to process personal data legally required, or public interest), this right is subject to specific restrictions or shall not exist, as the case may be.
Right to restriction of processing:
You have the right to request a restriction of the processing of your personal data in the following cases: a) when the accuracy of the personal data is contested and until the accuracy is verified, b) when you oppose the deletion of your personal data and request the restriction of their use instead, c) when personal data are not needed for processing purposes, they are however required for the establishment, exercise, or defense of legal claims, and (d) when you object to the processing and the decision on your objection to processing is pending.
Right to object to processing:
You have the right to object at any time to the processing of your personal data where, as described above, the processing is based on the legitimate interests we pursue as data controllers, as well as, for direct marketing and consumer profiling, if applicable.
Right to data portability:
You have the right to receive your personal data free of charge in a format that allows you to access, use, and edit them with commonly used editing methods. You also have the right to ask us, in case it is technically feasible, to transmit the data directly to another controller. Your right to do so exists for the data you provided and is processed by automated means based on your consent or for executing a relevant contract.
Right to withdraw your consent:
In cases where processing is based on your consent, you have the right to withdraw it without affecting the lawfulness of processing based on consent before its withdrawal.
If you would like to exercise any of those rights, please:
We make every effort to comply with all requests within 30 days. However, this period may be extended for reasons relating to your request’s specific right or complexity.
The data controller of this website is AUSTRALO Alpha Lab MTU (“AUSTRALO”), a Private Company established in Estonia whose registered office is at Narva mnt 7, 10117 Tallinn, Estonia. VAT number: EE102400317.
Email: contact@australo.org
All questions, comments and requests regarding this Privacy Policy may also be addressed to the following contact details contact@australo.org or postal address to our Company.
We hope we resolve any query or concern you raise about our use of your Data. However, suppose you believe we have not responded appropriately to your complaints or concerns. In that case, the General Data Protection Regulation also gives you the right to lodge a complaint with your local data protection or supervisory authority, in particular in the European Union (or European Economic Area) state where you work, normally live or where any alleged infringement of data protection laws occurred.
This privacy policy may change from time to time in line with legislation or industry developments. We will not explicitly inform our clients or website users of these changes. Instead, we recommend you check this page occasionally for any policy changes.
The development and implementation of robotic processes requires experts. Untrained users need a more natural way of coordinating human and robotic tasks to speed up and have the precision for task execution. One of the challenges on discrete manufacturing control is that the robotic system is variable.
Flexibility and Speeding Up processes
We will place modules to work with minimal training. This will include natural ways to teach a new process, to adapt existing ones, and “debug” their execution by non-programmers.
Many challenges have already been solved by industrial robots in this field, but there is an opportunity for cobots. Processes performed at Silverline final control workstation consist of 12 steps performed manually. Some of them are causing mental and health issues in workers.
Intelligent and Adaptable Control Station
The current tasks all performed by humans will be conducted either by robot, human or both.
Reduction by 30% of workers in heavy task and high-risks areas
Reduction by 50% of OPEX dos custom/dynamic tasks
Reduction by 30% of time to execute custom/dynamic tasks
Painting and sanding processes are performed manually by skilled operators. Some of the pieces of furniture require very elaborate painting which is difficult to automate.
Collaborative environment
Cobots will learn different tasks by human demonstration such as picking, loading, unloading, painting, sanding.
Humans can focus on tasks that provide a higher added value for the company.
Increase by 20% painting process productivity
Decrease by 50% quality defects
Brewing production line is highly automated but some tasks are difficult due to their complexity. Humans end up performing monotonous and strenuous tasks, repetitive and heavy duties, which expose them to repetitive strain injury or musculoskeletal disorders risks.
Learning from human demonstrations
The tasks involving cobots will include extra labeling, operating clarks/forklifts, returned bottles classification, packing and palletizing custom orders, heavy tasks in the filtration preparation process and garbage collection and disclosure in geofenced areas based on safety protocols.
Humans will first perform the task once or several times to teach the robot and the next steps will be automatic.
Cobots will interact with the surrounding space by sensing the environment to ensure human safety, while being seamless connected with the other systems of the factory. They will execute coordinated and sequenced dynamically defined logistics tasks and customized orders.
Reduction by 30% of workers in heavy task and high-risks areas
Reduction by 50% of OPEX dos custom/dynamic tasks
Reduction by 30% of time to execute custom/dynamic tasks
At VIGO facilities approximately 5000 per year devices are being produced. The delicate nature of the components and variable production volume makes the automatization of the production with classic solutions very difficult and uneconomical.
AI Algorithms
Adapting AI Algorithms to the differences in components. The operator will teach the robot the correct positioning of the elements to be glued together.
Reduction of time of the operation from 5 to 1 minute
Less waste from 10% to 5%
The industry requests more advanced and flexible solutions for using cobots in real production scenarios.
Building a distributed and calibrated network of sensors.
Novel models for the dynamic pose estimation of multiple people with respect to robot statuses.
Simplified deep graph partitioning method for detecting space-time patterns.
Techniques to classify and predict the future intention of operators based on accumulated behavioural data and the evolving context of processes and the environment.
Enhancing the global perception and reducing uncertainties in person tracking and modelling.
The demand for cobots is constantly growing in industrial environments due to their versatility and low prices. However, implementing scenarios where robots work and learn from human operators autonomously while synchronizing their operations in a safe industrial environment with personnel is still in the conceptual phase.
A novel real-time platform for human-robot interaction, providing different skills for a smart manufacturing context.
The platform will be based on ROS (Robot Operating System) – highly recognized open-source framework for robotic software development that provides stable packages and tools as well as tutorials for developing different robotic applications.
Usage of ROS will decrease the risk of miscommunication between software components, increasing reliability and maturity.
Implemented ROS solutions will be a backbone of AI-enhanced modules.
Nowadays, one of the higher trends is to incorporate methodologies to learn and perform every aspect of the task at hand by exploiting a massive number of observations.
Learning from Demonstration (LfD) aims at the generalization of a motion model based on movement cobots learned from observation of humans performing a task.
Probabilistic algorithms to generalize robot motions that can react online, enabling the generation and online adaptation of new policies in non-demonstrated situations.
Encoding a 6D rigid body trajectory information with a representation invariant to variation in contextual information such as reference frame, scale, and velocity.
Less intrusive interfaces to enable expert operators to perform demonstrations without disturbing their craftsmanship.
Craftsmanship can be further refined by exploiting the robot capabilities leveraging supervised learning techniques.
Increase the current manipulation capabilities, flexibility, and reliability to automate industrial tasks.
Our methodologies can generalize trajectories to non-demonstrated situation using information from a single demonstration.
As robotics, automation and digitisation become increasingly more pervasive in society. Most published studies are from an engineering approach and still do not include the social sciences or humanities.
Integrating social sciences and humanities throughout, from the first activities to identify requirements for the design of new systems to the final stage of evaluation and validation of those systems.
Involving an elaborate set of reliable novel and traditional human analysis techniques.
Physiological and sensor monitoring measures triangulated with rich descriptions and feedback from real industrial workers.
We will fully explore workers needs and preferences in relation to different collaborative systems and sociocultural settings.
Turkiye | Private Company
TEKNOPAR provides customers with a wide range of services and end-to-end solutions where integrated applications of OT and IT have been supplied.
Spain | Technology Centre
It is a leading centre in technology transfer and in the contribution of competitive value to industry. It offers integral solutions combining different technological domains in two main areas: Electronics, Information and Communication Technologies (EICT), and Energy and Mechatronics
Italy | Private Company – Affiliated Entity
In Italy, NTT Group has 5,000 professionals committed to building a unique and open community of people, guided by shared values. They intelligently anticipate the future in a unique, creative and generous collaborative environment.
Spain | Private Company
NTT DATA – a part of NTT Group – is a trusted global innovator of IT and business services. They help clients transform through consulting, industry solutions, business process services, IT modernization and managed services.
Spain | Non-profit Association
The Spanish Association for Standardization, UNE, is legally designated as the National Standardization Body of Spain. Through the development of technical standards, they help improve the quality, competitiveness and innovation of companies, products and services.
South of Korea | Private Company
As an Expert engineering company, A&G promise to provide the best support/service based on the needs of customers.
South of Korea | Research Institute
Since its foundation in 1976, ETRI, a global IT research institute, has been making an immense effort to provide Korea with remarkable growth in the field of IT industry. It delivers Korea as one of the top IT nations in the World, by continuously developing the world’s first and best technologies.
Austria | Research Institution
PROFACTOR researches for the competitiveness of the European Industry. Their technological developments strive for efficiency and sustainability, and work to benefit society. They are pioneers of thinking production.
United Kingdom | Education Institution
Cranfield’s world-class expertise, large-scale facilities and unrivalled industry partnerships are creating leaders in technology and management globally. Their expertise is in a deep understanding of technology and management and how these work together to benefit the world.
Spain | Education Institution
It is one of the 5 Spanish universities included in Reuter´s European Elite, which gathers the 100 higher education institutions that contribute most to science, and technological R&D.
Finland | Education Institution
FAST-Lab works for the seamless knowledge integration of humans and machines/robots creating smart environments by capitalising the advances on Information and Communication Technologies.
Spain | Research Institute
Since 1994, ITI has developed R&D applied to the needs and problems of companies, looking for technological solutions that respond to social and economic challenges, improve industrial competitiveness, and promote a more intelligent and sustainable society.
Italy | Research Institute
It is the top Research Institute in Italy, ranked at the 1st place for scientific excellence within three different subject areas and for the economic and social impact according to the latest quality of research ANVUR evaluation.
Belgium | Education Institution
KU Leuven is dedicated to education and research in nearly all fields. Its fifteen faculties offer classes and degree-granting academic programmes, whilst research activities are organised by departments and research groups.
Poland | Research Institute
Institute that provides Polish entities and foreign partners with solutions using the latest technologies in robotics, automation, measurement techniques and 3D printing, as well as space technologies for over 50 years.
Spain | Private Company
They design, manufacture and market mobile robots and mobile manipulators. Their company was founded in 2002 and is currently a reference in mobile robotics worldwide and in Europe.
Greece | Private Company
It is the largest beer production and distribution company in Greece, with an active presence in the country for almost 60 years. Along with its business development, the company has invested in the modernization of the production process and more.
Poland | Private Company
VIGO Photonics is a manufacturer of semiconducting materials and instruments for photonic and microelectronic, specialized in MWIR and LWIR detectors and modules. They have a complete front – end and back- end production line from epitaxy of II-IV and III-V groups, through detector chips, lasers and their assembly and integration with electronics.
Turkiye | Private Company
The main field of activities of Silverline are the production of classical & chimney hoods, gas hobs and built-in ovens for the house appliances. Their company consists of several manufacturing firms on total basement of 103.000 m² with apprx. 1800 employees in Merzifon (Turkiye).
Romania | Private Company
NTT Data Romania uses information technology to create new paradigms and values, which help contribute to a more affluent and harmonious society.
Austria | Private Company
It is an automation expert represented by its own subsidiaries all over the world, from the USA to Europe and Asia. Close networking with its customers and a high level of understanding for their industries and challenges have always been as important to KEBA as offering correspondingly industry-optimized solutions.
Romania | Private Company
It is an important actor fostering innovation and digital transformation services in the Nord-West region of Romania. Now, Transilvania DIH represents a strong consortium of 13 partners: 3 Universities, 1 City Hall, 1 R&D institution and 8 clusters and is part of the European DIHs network.
Italy | Private Company
As a member of Stellantis, it is a worldwide leader in delivering advanced industrial automation products and system. Its portfolio includes technology and systems for electric, hybrid and traditional vehicle manufacturing, industrial robots, collaborative and wearable robotics, autonomous logistics, dedicated machining centers and interconnected digital services and products able to transmit, elaborate and analyze machine and process data.
Turkiye | Private Company
TEKNOPAR provides customers with a wide range of services and end-to-end solutions where integrated applications of OT and IT have been supplied.
Estonia | Private company
AUSTRALO is a marketing agency specializing in growth hacking for research and innovation. They work closely with partners in the high-tech industry, entrepreneurship hubs, academia, digital transformation, Green Deal and healthcare, advocating for a trustworthy, fair and sustainable data-driven economy.
Greece | Private Company
It is a company that delivers innovative, end-to-end digital solutions (software and hardware) and transformations for vertical sectors, namely; Environment / Nature, Utilities and Infrastructures, Production and Manufacturing and Service sectors, based on its extensive expertise in IoT, wireless infrastructures, AI and AR/VR.
Spain | Private Company
International company, leader in good design and development of seating tables with high added value, enabling people to enjoy the spaces they inhabit in a smart and healthy way.
Within the framework of the project, we will strive to raise awareness about the need for greater equality in the AI sector and to see more women in it!
Painting and sanding processes are performed manually by skilled operators. Some of the pieces of furniture require very elaborate
painting which is difficult to automate.
Cobots will learn different tasks by human demonstration such as picking, loading, unloading, painting, sanding.
Humans can focus on tasks that provide a higher added value for the company.
Increase by 20% painting process productivity
Decrease by 50% quality defects
navigate through space avoiding obstacles.
New AI techniques such as Deep Learning (DL) or the evolution of RL towards DRL (Deep Reinforcement Learning) to make these sy-
stems more autonomous with a degree of understanding of the world.
Intrinsic aspects of robot design, giving rise to cobots and AI-based central controllers that will avoid any dangerous situation.
Safety and security in manufacturing between people and robots, avoiding collision and limiting impact forces to acceptable levels.
🡪 Building a distributed and calibrated network of sensors.
🡪 Novel models for the dynamic pose estimation of multiple people with respect to robot statuses.
🡪 Simplified deep graph partitioning method for detecting space-time patterns.
🡪 Techniques to classify and predict the future intention of operators based on accumulated behavioural data and the evolving context of processes and the environment.
Result:
🡪 Enhancing the global perception and reducing uncertainties in person tracking and modelling.
🡪 New AI techniques such as Deep Learning (DL) or the evolution of RL towards DRL (Deep Reinforcement Learning) to make these systems more autonomous with a degree of understanding of the world.
🡪 Intrinsic aspects of robot design, giving rise to cobots and AI-based central controllers that will avoid any dangerous situation.
Result:
🡪 Safety and security in manufacturing between people and robots, avoiding collision and limiting impact forces to acceptable levels.
NTT DATA – a part of NTT Group – is a trusted global innovator of IT and business services. They help clients transform through consul-
ting, industry solutions, business process services, IT modernization and managed services.