Industry 4.0 refers to the current trends of automation and artificial intelligence in industrial technologies. The aerospace industry became one of the leading production lines for automating industrial operations with robotic platforms. Industrial automation offers the advantage of mass execution of tasks at high precision. 3D reconstruction technique remains one of the most fundemental operations in the industry production lines, especially of aerospace industry. The state-of-the-art method for 3D reconstruction involves high-precision laser scanners. However, laser scanners are very expensive and require extensive instrumentation. To bridge these limitation, this project aims to propose a neuromorphic approach towards 3D reconstruction using neuromorphic vision-based tactile sensing. The proposed work will leverage the neuromorphic sensor low latency and high dynamic range for swift 3D reconstruction and its high resolution for robustly estimating various tactile information including surface structure and force distribution.
| Date of Award | 10 May 2024 |
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| Original language | American English |
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| Supervisor | Yahya Zweiri (Supervisor) |
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- Neuromorphic vision
- tactile sensing
- 3D reconstruction
- finite-element analysis
3D Reconstruction for Neuromorphic Tactile Sensing in Aerospace Applications
Zaid, I. (Author). 10 May 2024
Student thesis: Master's Thesis