Projects
Projects: Projects for Investigator |
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| Reference Number | InnUK/132427/01 | |
| Title | A low-cost robotic inspection platform for remote operation in aggressive environments | |
| Status | Completed | |
| Energy Categories | Nuclear Fission and Fusion(Nuclear Fission, Nuclear supporting technologies) 75%; Not Energy Related 25%; |
|
| Research Types | Applied Research and Development 100% | |
| Science and Technology Fields | PHYSICAL SCIENCES AND MATHEMATICS (Physics) 25%; ENGINEERING AND TECHNOLOGY (Mechanical, Aeronautical and Manufacturing Engineering) 75%; |
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| UKERC Cross Cutting Characterisation | Not Cross-cutting 100% | |
| Principal Investigator |
Project Contact No email address given Cadscan Limited |
|
| Award Type | Feasibility Studies | |
| Funding Source | Innovate-UK | |
| Start Date | 01 January 2017 | |
| End Date | 31 December 2017 | |
| Duration | 12 months | |
| Total Grant Value | £66,308 | |
| Industrial Sectors | ||
| Region | North West | |
| Programme | Competition Call: 1603_FS_ENRG_EGC - Energy Game Changer. Activity Enabling Technologies for Energy | |
| Investigators | Principal Investigator | Project Contact , Cadscan Limited (100.000%) |
| Web Site | ||
| Objectives | ||
| Abstract | Inspection in aggressive environments is time-consuming, dangerous and expensive. We will address this by developing a low-cost, autonomous robot platform based on Cadscan’s novel, patent-pending 3D imaging technology. This uses multi-illuminator phase-shifting to capture high resolution imagery inexpensively using just an array of LEDs, a printed mask and a camera. The sensing system will help navigate the robot and to construct a detailed survey of the environment. Making the platform low cost is an important enabler when harsh environments limit operational lifetime. In the Fukushima reactor incident radiation caused the wiring on all 5 clean-up robots to fail (dev cost $50m.) Lowering costs also means that multiple robots can be deployed simultaneously, cooperating to survey the environment much faster than individual units. We will focus primarily on ground-based platforms, although the sensor is suitable for drones too. We aim to change the game and take inspection to the limit. | |
| Publications | (none) |
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| Final Report | (none) |
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| Added to Database | 02/09/19 | |
