Robohub.org
 

Factory-in-a-Day: EU FP7 invests €7.9M to make robotics affordable for SMEs


by
07 December 2013



share this:
Factory-in-a-day_header_web-1170x424

Factory-in-a-Day is an EU initiative to develop a robotic system that is inexpensive, leasable, and can be set up and working in 24 hours. The goal is to make advanced robotic systems, which currently take weeks or months to deploy, more attainable for small and medium sized enterprises (SMEs). SME’s have not tended to invest in robotics technology because human workers are more efficient at adapting to the small production batches typical of most SMEs, and state-of-the-art systems are not flexible enough to adapt to changing processes, making large financial investments in these systems infeasible even when the processes are easily automated. Factory-in-a-Day aims to develop a system that can be easily re-purposed for new product lines —  by reducing the system integration time to a single day, the project hopes to minimize investment risk for SMEs. The EU’s FP7 Program has invested €7.9M in this €11M project. 

DOW_Factory-in-a-day_609206
Drawings by Christopher Bellingwout.

To make a one-day deployment feasible, project leaders envision that some of the work will need to be done ahead of time. Before the robot is even taken to the SME premises, the process would be analyzed to determine which tasks are best done by the robot and which are best left to humans; for greatest efficiency, the robots would do the repetitive work, and the humans would perform the hard-to-automate tasks that require flexibility and problem solving. After the workflow has been designed, customer-specific hardware components would be 3D-printed and installed on the standardized robot grippers. Only then would the robot and any auxiliary components (like cameras) be brought to the production facility.

The hope is that actual deployment would unfold quickly thereafter: once on site, the robot would be connected to the machinery software through a brand-independent software system, and then taught how to perform its set of tasks (such as grasping an object) by a human co-worker.  A set of predefined skills — similar to Apps for smart phones — would help speed the process.

Here’s a run-down of the challenges:

  1. Safety: Safe robot arms with inherent mechanical safety, novel proximity-sensing skin, and dynamic contact-avoiding behaviours will be needed to allow robots to operate safely alongside human co-workers.
  2. Platform independence: Platform-independent harmonized robot software will be needed to allow seamless integration with existing machinery.
  3. Automatic calibration: Auto-calibration of all robots and auxiliary systems, without altering the environment, will be needed for quick onsite deployment.
  4. Standardization: Standard core hardware modules (e.g. adaptive grippers and arms) and additive manufacturing (3D printing) procedures will need to be brought together for high-speed hardware development and installation.
  5. Fast deployment: Fast teaching software for on-site robot “programming” will be needed so that only essential parameters and trajectories need to be taught by humans.

Coordinated by the University of Delft, the project will involve 16 partners from academia and industry including Siemens, Fraunhofer, Universal Robots, Philips and the Technische Universität München (TUM). The consortium aims to have the workflow process designed within the first year, to have the software prototype tested for the first use case by the third year, and to have evaluated and tested all use-cases by the end of the four-year project.

 

 



tags: , , ,


Hallie Siegel robotics editor-at-large
Hallie Siegel robotics editor-at-large





Related posts :



Using generative AI to diversify virtual training grounds for robots

  24 Oct 2025
New tool from MIT CSAIL creates realistic virtual kitchens and living rooms where simulated robots can interact with models of real-world objects, scaling up training data for robot foundation models.

Robot Talk Episode 130 – Robots learning from humans, with Chad Jenkins

  24 Oct 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Chad Jenkins from University of Michigan about how robots can learn from people and assist us in our daily lives.

Robot Talk at the Smart City Robotics Competition

  22 Oct 2025
In a special bonus episode of the podcast, Claire chatted to competitors, exhibitors, and attendees at the Smart City Robotics Competition in Milton Keynes.

Robot Talk Episode 129 – Automating museum experiments, with Yuen Ting Chan

  17 Oct 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Yuen Ting Chan from Natural History Museum about using robots to automate molecular biology experiments.

What’s coming up at #IROS2025?

  15 Oct 2025
Find out what the International Conference on Intelligent Robots and Systems has in store.

From sea to space, this robot is on a roll

  13 Oct 2025
Graduate students in the aptly named "RAD Lab" are working to improve RoboBall, the robot in an airbag.

Robot Talk Episode 128 – Making microrobots move, with Ali K. Hoshiar

  10 Oct 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Ali K. Hoshiar from University of Essex about how microrobots move and work together.

Interview with Zahra Ghorrati: developing frameworks for human activity recognition using wearable sensors

and   08 Oct 2025
Zahra tells us more about her research on wearable technology.



 

Robohub is supported by:




Would you like to learn how to tell impactful stories about your robot or AI system?


scicomm
training the next generation of science communicators in robotics & AI


 












©2025.05 - Association for the Understanding of Artificial Intelligence