Precise positioning in alternating environments for autonomous railway inspection and parking lot striping robots

Precise positioning in alternating environments for autonomous railway inspection and parking lot striping robots

The goal of the proposed experiment is to demonstrate the feasibility of an automated switching mechanism between indoor and outdoor positioning technology that yields transparency for the user in the use of positioning sensors. We have already selected the sensor set and we are working on the module.

The solution

The PROTON Robots project solved the problem of automatically choosing the most suitable positioning
technology for switching between indoor and outdoor environments, yielding transparency for the user in the use
of positioning sensors and related processing systems.

The solution offers a clear competitive advantage for robotics thanks to an innovative automated switching
algorithm between different positioning technologies, thus offering a smooth and sound transition between
alternating indoor and outdoor environments and yielding to required accuracies. The switching is ‘transparent’ to
the user, without the user understanding or taking care if the system is using GNSS or other sensing techniques.


Challenge

Mobile robotics require a mean of positioning in their working spaces to perform their intended tasks. The accuracy
provided by outdoor and indoor systems is normally enough for humans to find what they are looking for, but might not be sufficient for a robot to self-locate in an unknown and non-cooperative scenario, so mostly centimetre-level accuracy is required for safe
operation for mobile robots. Therefore, additional or different sensor sets are required for that purpose. The technologies are usually found as separated hardware in the market. There is however not a clear and usable switching mechanism for robots
requiring localization techniques in alternating environments.



Impact

The main objective for Trinity-PROTON Robots project has been developing, testing and demonstrating the
technology for solving the positioning requirements for the robots in alternating scenarios. Our initial idea of creating a ROS module was achieved. We have received TRL level 7 for both companies during the project.

Facts and figures

  • FSTP Name:

    PROTON Robots

  • Beneficiary Lead:

    10Lines OÜ
    10-lines.com/
    Estonia

  • Beneficiary 2:

    ZeniaLabs Automation Intelligence, S.L.
    zenialabs.com/
    Spain

  • Beneficiary 3:

    -
  • Technology Area:

    IoT

  • End User:

    Mobile robots

  • Start Date - End Date:

    01/11/2021 - 31/08/2022

  • Duration:

    11 months

  • FSTP Funding:

    198 974,93 €

  • TRL Level at Start:

    3

  • TRL Level at End:

    7

  • Number of early adopters raised:

    0

  • Project results
    back to success stories
    Subscribe to newsletter

    Please subscribe to our mailing list to be the first one informed about the new open calls, events and other hot news!


      Please check if the email you entered is correct
      All done!

      Your have successfully subscribed to Trinity newsletter.