Research outputs per year
Research outputs per year
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.
- 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 title | Assisting with spot-welding |
|---|---|
| Status | Finished |
| Effective start/end date | 6/05/02 → 5/04/07 |
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):
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
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Improving automatic robotic welding in shipbuilding through the introduction of a corner-finding algorithm to help recognise shipbuilding parts
Sanders, D., Tewkesbury, G., Ndzi, D., Gegov, A., Gremont, B. & Little, A., Jun 2012, In: Journal of Marine Science and Technology . 17, 2, p. 231-238Research output: Contribution to journal › Article › peer-review
Open AccessFile377 Downloads (Pure) -
A robotic welding system using image processing techniques and a CAD model to provide information to a multi-intelligent decision module
Sanders, D., Lambert, G., Graham-Jones, J., Tewkesbury, G., Onuh, S., Ndzi, D. & Ross, C., 2010, In: Assembly Automation. 30, 4, p. 323-332 10 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile302 Downloads (Pure) -
Object-oriented programming for mobile robot welding system
Sanders, D. & Tewkesbury, G., 2010, In: Journal of Intelligent Mobility. 13, 3, p. 239 – 244Research output: Contribution to journal › Article › peer-review
Activities
- 1 Participation in conference
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The International Conference on Computer Applications in Shipbuilding - ICCAS 2007
Sanders, D. (Presented paper)
18 Sept 2007 → 20 Sept 2007Activity: Participating in or organising an event types › Participation in conference