Robot Welding – state of the art
This special issue is focused on robot welding, one of the most important applications in robotic manufacturing. Robotic welding started to become common in the 1980s, when spot welding became automated in the automotive industry. Since then, robotic welding has grown in extent and scope. Robotic arc welding has become established, and robotic friction-stir welding is emerging. This automation has contributed significantly productivity and economic growth.
Despite the successes, there are a lot of open research questions in robotic welding. These include how to increase productivity, enhance safety, expand to new applications, and increase product quality. The goal of this Special Issue is to highlight, and make progress on, these challenges. Novel research results as well as surveys will be considered for publication.
List of topic areas
- Improved productivity in robotic welding
- Design and modeling of robotic welding
- Hardware, such as new welding tools, sensors, etc.
- Enhanced safety
- Automated quality assurance
- Feedback control for tool positioning
- Novel applications
- State estimation
- Automatic hardware calibration
- Robotic welding outside of factories
- Robotic welding in Industry 4.0
- Machine learning and pattern recognition
- Force control
- Energy efficiency
- Computer vision
Dr Martin Karlsson,
Submissions are made using ScholarOne Manuscripts. Registration and access are available at: https://mc.manuscriptcentral.com/indrobot
Author guidelines must be strictly followed. Please see: https://www.emeraldgrouppublishing.com/journal/ir#author-guidelines
Authors should select (from the drop-down menu) the special issue title at the appropriate step in the submission process, i.e. in response to ““Please select the issue you are submitting to”.
Submitted articles must not have been previously published, nor should they be under consideration for publication anywhere else, while under review for this journal.
Closing date for manuscripts submission: 25th November 2022
For additional information or queries about this special issue contact [email protected]