Projects
Projects: Projects for Investigator |
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| Reference Number | EP/X025004/1 | |
| Title | Robotics and Artificial Intelligence for Critical Asset Monitoring (RAICAM) | |
| Status | Started | |
| Energy Categories | Other Cross-Cutting Technologies or Research 20%; Not Energy Related 80%; |
|
| Research Types | Basic and strategic applied research 100% | |
| Science and Technology Fields | PHYSICAL SCIENCES AND MATHEMATICS (Computer Science and Informatics) 50%; ENGINEERING AND TECHNOLOGY (Electrical and Electronic Engineering) 30%; ENGINEERING AND TECHNOLOGY (Mechanical, Aeronautical and Manufacturing Engineering) 20%; |
|
| UKERC Cross Cutting Characterisation | Not Cross-cutting 100% | |
| Principal Investigator |
Dr SA Watson No email address given Electrical & Electronic Engineering University of Manchester |
|
| Award Type | Standard | |
| Funding Source | EPSRC | |
| Start Date | 01 January 2023 | |
| End Date | 31 December 2026 | |
| Duration | 48 months | |
| Total Grant Value | £265,251 | |
| Industrial Sectors | ||
| Region | North West | |
| Programme | UKRI MSCA | |
| Investigators | Principal Investigator | Dr SA Watson , Electrical & Electronic Engineering, University of Manchester (100.000%) |
| Industrial Collaborator | Project Contact , Sellafield Ltd (0.000%) Project Contact , FIS360 (0.000%) |
|
| Web Site | ||
| Objectives | ||
| Abstract | This project aims to develop technologies which will enhance the operational capabilities of mobile robots for use in the inspection and maintenance of industrial facilities. A major task in many industrial environments is the retrieval of samples for chemical or biological analysis. Surface swabbing is often conducted manually, but this creates limits on the number of samples that can be taken and their location. There are often many places that can't be reached by people either due to the location (very high, or in confined/restricted access spaces) or environmental hazardous (such as heat or radiation). This project will develop a multi-domain, multi-agent robotic sample retrieval system that will be able to obtain samples across a range of environments. These samples will either be stored for ex-situ analysis in labs or taken to mobile labs for in-situ, real-time analysed. Due to the nature of the operational environments, full autonomy is not desirable, so shared autonomy (human-in-the-loop) will be required. The primary application focus will be nuclear environments, however the technologies will be applicable to many other sectors include petrochemical, offshore and agriculture | |
| Publications | (none) |
|
| Final Report | (none) |
|
| Added to Database | 18/10/23 | |
