Project Details
Description
The ambition of this project is to fundamentally investigate the novel adaptive control algorithms and smart path planning strategies for developing a feasible solution to the autonomous manufacturing of composite products through the use of a MAR system. A highly-efficient vision system is also to be investigated by utilising advanced machine learning algorithms to detect the tools and materials, which is more intelligent and can significantly reduce human’s work. The proposed adaptive control algorithms and smart path planning strategies consist of an intelligent MAR controller and in-process path planner that determines an optimal path in a collaborative manner of multiple robots in the flexible manufacturing environment has raised the significant challenges in both academic and industrial domains It is also proposed that the MAR will have obstacle avoidance capabilities to avoid collision with other machines and humans in the shared workfloor
Notes
Note: REA 2172, £60,957
| Status | Finished |
|---|---|
| Effective start/end date | 1/10/20 → 30/09/23 |
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Research output
- 1 Conference contribution book
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An overview of automated manufacturing for composite materials
Loeliger, A., Yang, E. & Bomphray, I., 15 Nov 2021, 2021 26th International Conference on Automation and Computing (ICAC). Piscataway, NJ: IEEE, p. 1-6 6 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book
Open AccessFile6 Link opens in a new tab Citations (Scopus)67 Downloads (Pure)