Automatic defect recognition utilising robots to scan highly curved geometries
Lead Research Organisation:
University of Strathclyde
Department Name: Electronic and Electrical Engineering
Abstract
Build upon previous automation of NDT systems utilising 6-axis KR16 KUKA robotic arms within the IntACom project to find solutions to arising problems such as highly curved geometries and composite materials-manufacturing within the aerospace industry.
The aim is to produce a novel research into optimal path planning algorithms for robotic arms with a view to speed up inspection times and ensure scalability for large complex structures.
The aim is to produce a novel research into optimal path planning algorithms for robotic arms with a view to speed up inspection times and ensure scalability for large complex structures.
People |
ORCID iD |
| Alastair Poole (Student) |
Studentship Projects
| Project Reference | Relationship | Related To | Start | End | Student Name |
|---|---|---|---|---|---|
| EP/S513908/1 | 30/09/2018 | 29/09/2024 | |||
| 2192648 | Studentship | EP/S513908/1 | 01/03/2019 | 28/02/2023 | Alastair Poole |