On going projects

-Smart Production

Latest updates and official website: http://www.smartproduction.aau.dk/

AAU Smart Production is a cross disciplinary research platform at AAU running 2015-2019 with participation from several AAU departments. OBJECTIVES

  1. To build and enhance AAUs interdisciplinary platform on manufacturing research (AAU production).
  2. To research and demonstrate how manufacturing industries can benefit from emerging technologies the new promising manufacturing technologies, concepts and methodologies coming out of Industrie 4.0 (D), Smart Manufacturing (US) and equivalent initiatives
  3. To adapt these technologies and concepts to the needs and characteristics of Danish industries specific focus on regional SME
VISION What we want to achieve in the next 4-8 years:
  • Gain funding for sustaining an integrative research platform consisting of 20-25 senior researchers and 20-25 junior researchers working in close collaboration with industry, national and international researchers, as well as other platforms.
  • Develop innovative research on smart production in close collaboration with key stakeholders with high industrial impact.
  • Ultimately to become globally recognized as a leading competence center for innovative production.

-CARMEN

CARMEN project (supported by Danish Agency for Science, Technology and Innovation; 2013-2017) focuses on new and advanced methods to virtually carrying out all phases of an robotics-based automation process. The project is coordinated by The Maersk Mc-Kinney Moller Institute. Additional partners to the project include Department of Business and Economics (University of Southern Denmark), Department of Mechanical and Manufacturing Engineering (Aalborg University, Denmark), Institute for Physics III, Georg August University, Göttingen, Germany), Danish Technological Institute, Denmark), KVM-CONHEAT A/S, VOLA A/S, Brunata A/S, SCAN A/S.

-MADE

MADE - Platform for future production (Danish Council for Strategic Research and Danish Agency for Science, Technology and Innovation; 2014-2018) is an academic-industrial collaboration that will pave the way for the development of new, efficient and enhanced types of manufacturing that will strengthen the manufacturing industry in Denmark and increase its competitiveness. Project coordinator is the Confederation of Danish Industry. Partners of the project are Aalborg University, Denmark's Technical University, University of Southern Denmark, Copenhagen Business School, Aarhus University, Danish Technological Institute, FORCE Technology, and a number of manufacturing companies. The total budget amounts to 183.5 million DKK.

Finished projects

-TAPAS

Research Area:
Manufacturing Robotics
Status: Finished
Start Date: 01/10/2010
End Date: 01/07/2014
Official Website

(TAPAS) Robotics-enabled Logistics and Assistive Services for the Transformable Factory of the Future

Scope:

Break new ground in robot-based automation and logistics as the backbone of a transformable factory of the future.

Project description:

TAPAS aimed at boosting robot-based automation and logistics as the backbone of a transformable factory of the future in Europe by: developing new logistics and automation solutions as key components of a transformable production, pushing the European RTD base in ICT for more robust and complete services, creating sustainable solutions for new applications of robots and facilitating robust implementations of transformable automation.

To fulfil this vision, TAPAS focused on the following tasks: creation of mobile robots with manipulators based on existing robotic prototypes (KUKA omniRob, Aalborg Little Helper) to make logistic tasks more flexible automation of assistive tasks which naturally build on logistical tasks, such as preparatory and post-processing work iterative testing and validation to analyse the gap between user needs and offered solutions.

AAU Contact persons: 

Ole Madsen & Simon Bøgh

Partners

-ACAT

ACAT logo Research Area:
Cognitive Robotics
Status: Ongoing
Start Date: 01/03/2013
End Date: 30/04/2016
Official Website

(ACAT) Learning and execution of Action Categories

Scope:

Create a robot-compiler, which translates human understandable information into a robot-executable program

Project description:

ACAT focuses on how artificial systems (robots) can understand and utilize information made for humans. The goal of the ACAT project is to provide machines (robots) with this type of tacit information and to generate internal knowledge about individual task by way of creating and storing all required action information into so-called Action Categories.

To achieve this, ACAT generates a dynamic process memory by extraction and storage of action categories from large bodies of human compatible sources (text, images). Action categories are designed to include the actual action-encoding but also large amounts of context information ("background"). They are obtained by combining linguistic analysis with grounded exploration and action-simulation. To make them available to a wide variety of robots ACAT will structure and store the action categories in an action-specific knowledge base.

The ultimate purpose of ACAT is to equip the robot – on an ongoing basis – with abstract, functional knowledge, normally made for humans, about relations between actions and objects leading to a system which can act meaningfully.

AAU Contact persons: 

Ole Madsen & Dimitris Chrysostomou

Partners

-CARLoS

Research Area: Manufacturing RoboticsStatus: Ongoing Start Date: 01/09/2013 End Date: 01/09/2015 Official Website

(CARLoS) Cooperative Robot for Large Spaces Manufacturing

Scope:

Create a prototype robot co-worker for fit-out operations inside blocks of ship superstructures.

Project description:

CARLoS project aims to apply recent advances in cooperative mobile robotics, to a representative industrial scenario in shipyards. CARLoS robot will be built using off-the-shelf technology under a modular approach. The final prototype will be demonstrated as a robot co-worker for specific operations such as stud welding and marking based on information from a CAD model that are necessary for posterior fit-out operations. This includes:

  • Semiautonomous navigation inside ship blocks.
  • Performing the necessary stud welding process completely automatic based on CAD descriptions.
  • Marking pre-outfitting information from the CAD model onto bulkheads to aid fit-out operations by the human worker.
  • Skills-based robot programming in order to be easily controlled by an ordinary shipyard worker.

AAU Contact persons: 

Volker Krüger & Simon Bøgh

Partners