Projects per year
Organisation profile
Organisation profile
At the Department of Mechanical and Manufacturing Engineering, Aalborg University a group of researchers is focused on research in adaptive automation of manufacturing tasks. An adaptive automatic manufacturing system is a system which automatically or semi-automatically can respond to changes in the operating environment.
The mission of the research group is: to create, discover and disseminate knowledge about adaptive automation through research, education, prototype developments and practical implementation.
The vision of the research group is to, within five years, establish frontier research and education facilities within adaptive automation which is ranked among one of the best in Europe.
Motivation
The environment in which most industrial companies are operating is steadily becoming more and more dynamic due to many different conditions (e.g. increased customisation, Smaller and smaller batch sizes, Increased global competition focus on sustainability, technology development).
As a result of this, manufacturing system must be able to cope with an increasing number of variants, to react fast to marked changes, and to have an increased ability to handle the increasing uncertainty associated with the market (market size, competitors, capacity needs, etc).
Existing automatic manufacturing systems are not sufficiently flexible to meet these demands. Normally, they have been developed with a focus on reducing standard unit costs, and improving product quality and ergonomics. These are still very important issues; however, the automatic manufacturing systems of the future must be more adaptive so that they can respond fast and efficient to changes in the operating environment.
It is the development and application of these adaptive systems which is the focus of our research group.
Competences
The competences of the research group are related to advanced automation of manufacturing. Areas covered by the research group are:
- Industrial automation
- robotics
- computer vision
- machine learning
- modelling and control of industrial processes
- sensor based control
- design of advanced manufacturing systems
- digital manufacturing.
Research
The formulated vision is very ambitious and requires research in a large number of areas found in the cross-road between established manufacturing, robotics and automation technologies and emerging technologies in industrial ICT, A.I. cognition, mobile and service robots, autonomous control, and sensing. The huge area cannot be covered by the research group. Instead focus is on a number of selected research objectives and on establishing close collaboration with external partners nationally as well as internationally.
We have selected to focus on:
1. Automation - Making the development process of automatic manufacturing systems more efficient so that:
- systems can be developed faster
- cheaper systems can be developed
- the development can be integrated into the product innovation process.
2. Scalability - Developing systems which fast and efficient can be scaled (in terms of capacity) to meet market demands.
3. Cost/diversity - Making automatic manufacturing systems flexible as well as efficient (goal: standard unit cost independent of volume).
Our Work in Practice
We prioritise that our research is put into practical use. As a result of this most of our research is carried out in close collaboration with industry. This can be end-users and well as system and technology providers.
Furthermore, since it is a characteristic of automation activities in manufacturing that good solutions requires a multi disciplinary approach, we have a great emphasis on establishing close collaboration with research institutions nationally as well as internationally.
We build prototypes (theory guides – but experiments decides)
Finally, we have a focus on maintaining state-of-the-art practical competences in areas as: digital manufacturing, machine vision, Robotics, analysis of manufacturing.
Fingerprint
Collaborations from the last five years
Profiles
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Kasper Skov Andersen
- The Faculty of Engineering and Science - Student Assistant
- Department of Materials and Production - Student Assistant
- Production - Student Assistant
- Robotics and Automation - Student Assistant
Person: TAP
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Nestor Arana Arexolaleiba
- The Faculty of Engineering and Science - Visiting Researcher
- Department of Materials and Production - Visiting Researcher
- Production - Visiting Researcher
- Robotics and Automation - Visiting Researcher
Person: External
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Simon Bøgh
- The Faculty of Engineering and Science - Associate Professor
- Department of Materials and Production - Associate Professor
- Production - Associate Professor
- Robotics and Automation - Associate Professor
- AI for the People
Person: VIP
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TTC: Time-Traveling Conversations: Designing Robots to Imitate Speaking Styles of Historical Figures
01/02/2024 → 30/01/2026
Project: Research
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Connecting Language and Speech in Intelligent Human Robot Interaction
LI, C., Chrysostomou, D. & Kaszowska, A.
01/07/2023 → 30/06/2025
Project: Research
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FLIP: Flexible Laser Integrated Production
Kristiansen, M., Thomsen, A. N., Gertsen, F., Schrøder, S. E., Mikkelstrup, A. F., Moeslund, T. B. & Kantas, C.
01/07/2023 → 30/06/2026
Project: Research
Research output
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A Meta-Level Reference Architecture for Swarm Production Based on Holonic Arti
Avhad, A., Schou, C., Kluge-Wilkes, A. & Madsen, O., 2024Research output: Other contribution › Research
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Analysis of Facial Features for Trust Evaluation in Industrial Human-Robot Collaboration
Campagna, G., Rehm, M. & Chrysostomou, D., 2024, (Accepted/In press) 20th IEEE International Conference on Advanced Robotics and Its Social Impacts (ARSO 2024) . IEEEResearch output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review
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Enabling passivity for Cartesian workspace restrictions
Hjorth, S., Lachner, J., Ajoudani, A. & Chrysostomou, D., 30 Jan 2024, (Accepted/In press) 2024 IEEE International Conference on Robotics and Automation (ICRA). IEEEResearch output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review
Datasets
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Why Talk to People When You Can Talk to Robots? Far-Field Speaker Identification in the Wild
RO-MAN, 2. 2. (Creator), Chrysostomou, D. (Creator), Humblot-Renaux, G. (Creator) & LI, C. (Creator), Underline Science Inc., 21 Aug 2021
DOI: 10.48448/gae6-9z05, https://underline.io/lecture/30263-why-talk-to-people-when-you-can-talk-to-robotsquestion-far-field-speaker-identification-in-the-wild
Dataset: Supplementary material
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3D point cloud measurements of the surface of HFMI treated and untreated linear butt welds
Mikkelstrup, A. F. (Creator) & Kristiansen, M. (Supervisor), Mendeley Data, 2 Jul 2021
DOI: 10.17632/ktcsh7sykv.1, https://data.mendeley.com/datasets/ktcsh7sykv/1
Dataset
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Geometric measurement of the surface of a v-bend during multi-scan laser forming
Thomsen, A. N. (Creator), Kristiansen, M. (Creator), Kristiansen, E. (Creator) & Endelt, B. (Creator), Mendeley Data, 14 Aug 2019
Dataset
Prizes
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SCAP2020 Best Presentation Award
Sarivan, Ioan-Matei (Recipient), Madsen, Ole (Recipient) & Bøgh, Simon (Recipient), Nov 2020
Prize: Conference prizes
File -
Finalist for the Otto Mønsted Foundation's MADE Award 2020
Schou, Casper (Recipient), 2020
Prize: Research, education and innovation prizes
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Wearable Robotics Association's 2018 Innovation Challenge Grand Prize Winner (WearRAcon18)
Castro, Miguel Nobre (Recipient), Rasmussen, John (Recipient), Andersen, Michael Skipper (Recipient) & Bai, Shaoping (Recipient), 22 Mar 2018
Prize: Research, education and innovation prizes
Activities
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Invited talk: "AI in Robotics and Manufacturing"
Simon Bøgh (Lecturer)
7 Mar 2024Activity: Talks and presentations › Talks and presentations in private or public companies
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Industrial Robot: the international journal of robotics research and application (Journal)
Dimitris Chrysostomou (Editor)
1 Jan 2024 → …Activity: Editorial work and peer review › Journal editor › Research
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Robotics and Computer-Integrated Manufacturing (Journal)
Dimitris Chrysostomou (Peer reviewer)
10 Oct 2023 → …Activity: Editorial work and peer review › Peer review of manuscripts › Research
Press/Media
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AAU's nye laserlaboratorium låser op for hurtigere og dybere forskning
26/02/2024
1 item of Media coverage
Press/Media: Press / Media
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Digitalisering i fokus: AddSmart projektet styrker nordjyske SMV'er
25/01/2024
1 item of Media coverage
Press/Media: Press / Media
Facilities
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5G Smart Production Lab
Casper Schou (Manager) & Ignacio Rodriguez Larrad (Manager)
Department of Materials and ProductionFacility: Laboratory