• Fibigerstræde, 16

    9220 Aalborg Øst

    Denmark

Organization 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.

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  • Network Dive into details by clicking on the dots.

    Projects

    Research Output

    A Framework for Wildfire Inspection Using Deep Convolutional Neural Networks

    Novac, I., Geipel, K. R., Gil, J. E. D. D., Paula, L. G. D., Hyttel, K. & Chrysostomou, D., 9 Mar 2020, IEEE/SICE International Symposium on System Integration. IEEE, p. 867-872 6 p. 9026244

    Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

    Open Access
    File
  • 27 Downloads (Pure)

    Control of HVAC-Systems Using Reinforcement Learning With Hysteresis and Tolerance Control

    Blad, C., Kallesøe, C. & Bøgh, S., 2020, IEEE/SICE International Symposium on System Integration. IEEE, p. 938-942 5 p. 9026189. (Proceedings of the 2020 IEEE/SICE International Symposium on System Integration).

    Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

  • Design, modeling and testing of a compact variable stiffness mechanism for exoskeletons

    li, Z., Bai, S., Madsen, O., Chen, W. & Zhang, J., 2020, In : Mechanism and Machine Theory. 151, 103905.

    Research output: Contribution to journalJournal articleResearchpeer-review

    Datasets

    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

    Wearable Robotics Association's 2018 Innovation Challenge Grand Prize Winner (WearRAcon18)

    Nobre Castro, Miguel (Recipient), Rasmussen, John (Recipient), Andersen, Michael Skipper (Recipient) & Bai, Shaoping (Recipient), 22 Mar 2018

    Prize: Research, education and innovation prizes

  • Best Presentaion

    Kristiansen, Morten (Recipient), 3 Jan 2014

    Prize: Conference prizes

    File

    Activities

    5th International Conference on Robot Ethics and Standards

    Dimitrios Chrysostomou (Organizer)

    28 Sep 202029 Sep 2020

    Activity: Attending an eventConference organisation or participation

    23rd International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines

    Dimitrios Chrysostomou (Organizer)

    24 Aug 202026 Aug 2020

    Activity: Attending an eventConference organisation or participation

    29th IEEE International Conference on Robot and Human Interactive Communication (Event)

    Sebastian Schleisner Hjorth (Peer reviewer)

    May 2020Jun 2020

    Activity: Editorial work and peer reviewPeer review of manuscriptsResearch

    Press / Media

    Opfinder af intelligent armbånd: Nu bliver vi rige

    Ole Madsen

    08/07/2020

    1 item of Media coverage

    Press/Media: Press / Media

    Opfinder af intelligent armbånd: Nu bliver vi rige

    Ole Madsen

    05/07/2020

    2 items of Media coverage

    Press/Media: Press / Media

    5G boost til industrien

    Ole Madsen

    19/06/2020

    1 item of Media coverage

    Press/Media: Press / Media