Welding

    Project Details

    Description

    Improving robotic welding in the automobile and shipbuilding industry using object oriented modelling and new corner-finding algorithms to help recognise parts.

    Key findings

    The following were created:

    - New prototype automatic intelligent systems to plan and perform simple spot-welding tasks.
    - Object-oriented approach to programming welding robots.
    - New methods to locate corners in images to improve the extraction of Fourier descriptors and subsequent recognition of parts.
    - A pointer device for TFT display screens that determines position by detecting colours on the display using a colour sensor and an Artificial Neural Network.
    - Recognition of shipbuilding parts by pre-locating corners in images.
    - Object-oriented programming for mobile robot welding systems.
    - A robotic welding system using image processing techniques and a CAD model to provide information to a multi-intelligent decision module.
    - New corner-finding algorithms to help recognise parts.
    - Pre-location of corners in images.
    - Recognizing shipbuilding parts using artificial neural networks and Fourier descriptors.
    Short titleAssisting with spot-welding
    StatusFinished
    Effective start/end date6/05/025/04/07

    UN Sustainable Development Goals

    In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):

    • SDG 9 - Industry, Innovation, and Infrastructure

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