Personal statement
Dr G. Dobie is a Reader in the Department of Electronic & Electrical Engineering at the University of Strathclyde. He received his MEng in Electrical & Mechanical Engineering at the University of Strathclyde and a PhD in the Centre for Ultrasonic Engineering developing a reconfigurable non-contact inspection system.
Teaching
Mobile Robotics and Microcontrollers
Research interests
His primary research interests include ultrasonics, NDE, automation, robotics, signal processing, computer vision and embedded systems. His current work in CUE focuses on:
Automated inspection
Automated analysisÂ
Photogrammetry
Professional activities
- A study of the accuracy and repeatability of mobile collaborative robots for non-destructive evaluations
- Contributor
- 25/4/2023
- Automated Inspection Research Developments for Full Lifecycle Inspection
- Contributor
- 19/4/2023
- The National Robotarium
- Visiting researcher
- 12/4/2023
- Sensor Enabled Automation
- Contributor
- 14/9/2022
- Process to part inspection: using hybrid robotics to enable flexible manufacturing NDT
- Contributor
- 6/9/2022
- Automated detection of crack features in nuclear superheaters using deep learning with automatically labelled datasets
- Contributor
- 30/11/2021
More professional activities
Projects
- Integration of High Frequency Tactile Event Measurement into Tactile Gloves for Human-Machine Interaction and Ergonomic Testing
- Dobie, Gordon (Principal Investigator)
- 10-Jan-2023 - 09-Jan-2023
- KTP - Cokebusters Ltd. Development of mobile acoustic technologies for the detection of corrosion and degradation of in process piping/pipelines.
- Dobie, Gordon (Principal Investigator) Mohseni, Ehsan (Co-investigator)
- 01-Jan-2023 - 30-Jan-2025
- Adaptive Path Planning and Visual Navigation of Autonomous Inspection Robots in Challenging Environments
- Yang, Erfu (Principal Investigator) Dobie, Gordon (Co-investigator) Jiang, Meiling (Researcher)
- This project aims to fundamentally investigate the novel adaptive path planning and visual navigation of robots (such as an industrial robot manipulator, Cobot, UAV etc.) for autonomous inspection by enabling holistic control and interactions of robots in complex, dynamic and changing environments such that safety and interaction of nearby humans/operators/other objects etc. can be maintained while the inspection tasks are taking place. At the same time, the efficiency and flexibility of the inspection process is also achieved when process variations or environmental changes take place.
- 01-Jan-2022 - 30-Jan-2025
- KTP 13263 - Inspectahire Instrument Co Limited. Development of a portable fluid level measuring device for use in the hazardous zoned area of bonded warehouses to enable owners to monitor cask contents.
- Dobie, Gordon (Principal Investigator) MacLeod, Charles Norman (Co-investigator)
- 01-Jan-2022 - 31-Jan-2024
- EPSRC Centre for Doctoral Training in Future Ultrasonic Engineering (FUSE CDT) -PhD studentship
- Tunukovic, Vedran (Principal Investigator) Mohseni, Ehsan (Principal Investigator) Pierce, Gareth (Principal Investigator) Dobie, Gordon (Principal Investigator) Cochran, Sandy (Principal Investigator)
- Automated Ultrasound Data Processing for Defect Detection and Characterization Through Machine Learning
- 01-Jan-2022 - 01-Jan-2025
- MOEA/D-PPR: Path Planning of Robots in Complex Environments via the Multiobjective Evolutionary Algorithm Based on Decomposition
- Yang, Erfu (Principal Investigator) Dobie, Gordon (Co-investigator)
- 31-Jan-2022 - 30-Jan-2024
More projects
Address
Electronic and Electrical Engineering
Royal College
Royal College
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