• 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.

Fingerprint The fingerprint consists of concepts related to the research profile of the unit and associated persons. It is updated automatically, when new content is added.

Robots Engineering & Materials Science
Robotics Engineering & Materials Science
Manipulators Engineering & Materials Science
Unmanned aerial vehicles (UAV) Engineering & Materials Science
Industrial robots Engineering & Materials Science
Industry Engineering & Materials Science
Industrial plants Engineering & Materials Science
Grippers Engineering & Materials Science

Network Dive into details by clicking on the dots.

Projects 2009 2021

Research Output 2005 2020

Impedance Control and Force Estimation of a Redundant Parallel Kinematic Manipulator

Mendez, J. D. D. F., Schiøler, H., Madsen, O. & Bai, S., 1 Jan 2020, Informatics in Control, Automation and Robotics : 14th International Conference, ICINCO 2017 Madrid, Spain, July 26-28, 2017 Revised Selected Papers. Madani, K. & Gusikhin, O. (eds.). Springer, p. 174-191 18 p. (Lecture Notes in Electrical Engineering, Vol. 495).

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

Manipulators
Kinematics
Robots
Feedback linearization
Actuators

A Dual-arm Collaborative Robot System for the Smart Factories of the Future

Filtenborg Buhl, J., Grønhøj, R., Kjær Jørgensen, J., Mateus, G., Pinto, D., Krunderup Sørensen, J., Bøgh, S. & Chrysostomou, D., 2019, (Accepted/In press) 29th International Conference on Flexible Automation and Intelligent Manufacturing: FAIM 2019. 8 p.

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

Industrial plants
Robots
Motion planning
Software architecture
Middleware

A maturity assessment approach for conceiving context-specific roadmaps in the Industry 4.0 era

Colli, M., Berger, U., Bockholt, M., Madsen, O., Møller, C. & Wæhrens, B. V., 1 Jan 2019, In : Annual Reviews in Control.

Research output: Contribution to journalJournal articleResearchpeer-review

Industry
Problem-Based Learning

Prizes

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

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

Prize: Research, education and innovation prizes

Robotics
Equipment and Supplies

Activities 2010 2018

Seventh Annual Aalborg U Robotics

Dimitris Chrysostomou (Organizer)
3 Dec 2018

Activity: Attending an eventOrganisation or participation in workshops, courses, or seminars

21st International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines

Dimitris Chrysostomou (Organizer)
10 Sep 201812 Sep 2018

Activity: Attending an eventConference organisation or participation

PhD Chairman - Yohanes Khosiawan, AAU

Simon Bøgh (Internal examiner)
9 Apr 2018

Activity: ExaminationInternal examination

Press / Media

Techfestival North 2019 // Mød forsker Simon Bøgh

Simon Bøgh

25/09/2019

1 item of Media coverage

Press/Media: Press / Media

Robot adlyder det mindste vink

Shaoping Bai, Muhammad Raza Ul Islam & Ole Madsen

20/05/2019

1 item of Media coverage

Press/Media: Press / Media

Robotten adlyder dit mindste vink

Shaoping Bai, Muhammad Raza Ul Islam & Ole Madsen

07/05/2019

1 item of Media coverage

Press/Media: Press / Media