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STAMINA Consortium Presents Innovative Robotic Solution

STAMINA Consortium Presents Innovative Robotic Solution

An autonomous mobile manipulator for kitting operations in the automotive sector will be presented by the STAMINA consortium at the AUTOMATICA trade fair from 21 to 24 June in Munich. Coordinated by Aalborg University, this EU project showcases a robotic system demonstrating advanced sensing, on-the-fly robot programming, autonomous part handling, and navigation and integration in the manufacturing execution system of the factory.

3D sensing for intelligent part picking.The consortium tackles the difficult problem of part handling in the automotive industry, a sector with automation levels below 30 percent due to the variability of production and the diversity of suppliers and parts. The full automation of such a task will not only have a huge impact on the automotive industry but will also act as a cornerstone in the development of advanced mobile robotic manipulators capable of dealing with unstructured environments, thus opening new possibilities in general for manufacturing SMEs.

The STAMINA project uses a holistic approach by partnering with experts in each key field, thus building on previous R&D to develop a fleet of autonomous and mobile industrial robots with different sensory, planning and physical capabilities for kitting. The robot systems are being developed in a lean manner using an iterative series of development and validation tests that will not only assess the performance and usability of the system but also allow goal-driven research. STAMINA devotes special attention to system integration, promoting and assessing the development of a sustainable and scalable robotic system to ensure a clear path for future exploitation of the developed technologies.

The autonomous robot composed of a mobile platform, industrial robotic arm, and a three finger gripper.

AUTOMATICA is an international trade fair for robotics and automation, and is the central meeting point for manufacturers and users of integrated assembly solutions, robotics, industrial machine vision and professional service robotics. At the event in 2014, a total of 724 exhibitors from 42 countries presented their products and solutions; 34,493 visitors from more than 100 countries attended the Munich trade fair.

Taking place in Munich from 21 to 24 June 2016, the AUTOMATICA trade fair was selected as the primary venue to showcase the latest results of the STAMINA project - “Sustainable and Reliable Robotics for Part Handling in Manufacturing Automation.”

Since October 2013, the STAMINA project has built on the complementary expertise of technology suppliers, R&D organizations and advanced users from industry. The STAMINA consortium consists of the following partners: Peugeot Citroën Automobiles SA (France), BA Systèmes SAS (France), Aalborg University (Denmark), INESC TEC (Portugal), Albert-Ludwigs-Universität Freiburg (Germany), Rheinische Friedrich-Wilhelms-Universität Bonn (Germany) and the University of Edinburgh/Heriot-Watt University (United Kingdom).

With an overall budget of 5 million euros, the STAMINA project is funded under the European Union's 7th Framework Programme. The project will end in March 2017.

Visit STAMINA at AUTOMATICA, Munich, from 21 to 24 June 2016: Hall B5, booth 129.

Contact

  • Project Coordinator: Volker Krueger, Professor, Aalborg University, Phone: (+45) 9940 2495, vok@m-tech.aau.dk.
  • Project Secretariat: Anna-Grethe Bloch, Fundraising and Project Management Office, Phone: (+45) 9940 3504, agb@adm.aau.dk.
  • Press Contact: Carsten Nielsen, Aalborg University, Phone: (45) 2340 6554, cn@adm.aau.dk.

“The STAMINA project has received funding from the European Union’s Seventh Framework Programme for research, technological development and demonstration under grant agreement no. 610917.”

Project title: “Sustainable and Reliable Robotics for Part Handling in Manufacturing Automation”

Project website: stamina-robot.eu             

Project run time: 01.10.2013 – 31.03.2017

3D view of the robot's knowledge base.