Increasing the agility of the cable assembly industry using Trinity robotics solutions

Increasing the agility of the cable assembly industry using Trinity robotics solutions

AGILE advanced robotic solutions boost the agility of the automotive sector by applying the TRINITY robotics solutions (HRC) and AI machine tools.

The solution

The solution is composed by three demonstrators:
- Collaborative robotics, demonstrates a collaborative assembly of different car fuse boxes between a human and a robot. Safety areas and a safety line are projected on the assembly station to keep the worker aware of his working space;
- Human-Robot Interface (HRI) using an Augmented Reality (AR) application for training-on-the-job and assisting workers in maintenance operations;
- Bin-picking with machine vision where a robot detects different types of connectors in unpredictable positions, determines the best grabbing position and sorts them into different output trays, depending on the connector type.


The production of electric cables for the automotive industry is still depending on considerable manual processes, therefore, most cable assembly factories are in cost-effective labour countries. However, due to increasingly stringent quality requirements, together with the demand to lower production costs and miniaturisation, there is now a strong push towards automation and robotisation of the cable assembly processes.
Such transformation is a major challenge for the manufacturers of cable processing machines and requires new knowledge and competences on novel robotic solutions. Allbesmart, an ICT company, has been challenged by Stoneshield, a robotic integrator, to joint efforts to take advantage of this need and market opportunity.


Collaborative assembly reduction of 30%: Collaborative assembly has the potential to considerably reduce assembly times, whilst ensuring, reduction in human errors by inspecting the final product quality. They may also increase workplace ergonomics. Using a mid-range collaborative robot, assembly times can be reduced by, at least, 30%.
Training-time reduction by 50%: Augmented Reality (AR) based solutions improve knowledge transfer, and reduced training time by 50%. They also improve field service quality and productivity, reducing overtime spend with maintenance operations.
Cost savings up to 70%: AR with remote video assistance considerably reduces, the need for travels related to maintenance.

Facts and figures

  • Technology Area:

    Augmented Reality and Collaborative Robotics

  • End User:

    Operators of industrial machines

  • Start Date - End Date:

    01/07/2020 - 30/06/2021

  • Duration:

    12 months

  • FSTP Funding:

    260 750,00 €

  • TRL Level at Start:


  • TRL Level at End:


  • Number of early adopters raised:


  • Project results
    “Allbesmart has developed and Augmented Reality application for training machine operators that significantly reduced the time required for training.”

    Rui Tocha, Director of CENTIMFE and POOL-NET, the European Tooling Platform

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