| EPSRC Reference: |
EP/C51050X/1 |
| Title: |
Robot Perception Using a Global Workspace Architecture |
| Principal Investigator: |
Shanahan, Professor M |
| Other Investigators: |
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| Researcher Co-Investigators: |
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| Project Partners: |
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| Department: |
Electrical and Electronic Engineering |
| Organisation: |
Imperial College London |
| Scheme: |
Standard Research (Pre-FEC) |
| Starts: |
01 September 2005 |
Ends: |
31 December 2008 |
Value (£): |
309,296
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| EPSRC Research Topic Classifications: |
| Artificial Intelligence |
Image & Vision Computing |
| Parallel Computing |
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| EPSRC Industrial Sector Classifications: |
| No relevance to Underpinning Sectors |
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| Related Grants: |
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| Panel History: |
| Panel Date | Panel Name | Outcome |
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28 Oct 2004
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Computer Science Panel (Tech) 28th October 2004
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Deferred
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Summary on Grant Application Form |
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The aim of this project is to develop and explore a novel system for high-level robot perception that combines logical abduction and top-down information flow with a computational architecture, based on global workspace theory , that incorporates multiple parallel or concurrent processes that each carry out a different form of computation on the raw sensor data, using a variety of off-the-shelf image processing techniques. The project builds on advances made by the Principal Investigator and his research group, largely thanks to a series of previous EPSRC-funded projects, in the areas of knowledge representation, high-level robot perception, and cognitive robotics.
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Key Findings |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Potential use in non-academic contexts |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Impacts |
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| Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
| Summary |
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| Date Materialised |
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Sectors submitted by the Researcher |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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| Project URL: |
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| Further Information: |
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| Organisation Website: |
http://www.imperial.ac.uk |