| EPSRC Reference: |
GR/S30955/01 |
| Title: |
Robot MODIC: Modelling, Identification and Characterisation of Robot-Environment Interaction |
| Principal Investigator: |
Nehmzow, Professor U |
| Other Investigators: |
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| Researcher Co-Investigators: |
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| Project Partners: |
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| Department: |
Computer Sci and Electronic Engineering |
| Organisation: |
University of Essex |
| Scheme: |
Standard Research (Pre-FEC) |
| Starts: |
01 January 2004 |
Ends: |
31 March 2007 |
Value (£): |
193,772
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| EPSRC Research Topic Classifications: |
| Artificial Intelligence |
Control Engineering |
| Non-linear Systems Mathematics |
Numerical Analysis |
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| EPSRC Industrial Sector Classifications: |
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Summary on Grant Application Form |
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Describe the proposed research in about 200 words.The Robot MODIC project proposes to address the problem of designing mobile robot control programs and modelling the interaction of a mobile robot with its environment by applying non-linear systems signal processing and dynamical systems theory.Specifically, the project will investigate the operation of an autonomous mobile robot by modelling robot-environment interaction using (polynomial) NARMAX models. Such models have the advantage of being transparent, allowing detailed analysis and the determination of dominant factors that affect the robot's behaviour.The project will lead to a better theoretical understanding of the factors that govern the operation of a mobile robot in its environment, as well as develop novel methods of robot simulation based on the new models.
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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.sx.ac.uk |