| EPSRC Reference: |
GR/M90160/01 |
| Title: |
INSTRUCTION-BASED LEARNING FOR MOBILE ROBOTS |
| Principal Investigator: |
Klein, Professor EH |
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| Project Partners: |
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| Department: |
Sch of Informatics |
| Organisation: |
University of Edinburgh |
| Scheme: |
Standard Research (Pre-FEC) |
| Starts: |
01 March 2000 |
Ends: |
31 May 2003 |
Value (£): |
152,755
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| EPSRC Research Topic Classifications: |
| Artificial Intelligence |
Image & Vision Computing |
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| EPSRC Industrial Sector Classifications: |
| No relevance to Underpinning Sectors |
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Summary on Grant Application Form |
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This project explores a still-untapped method of knowledge acquisition and learning by intelligent systems: the acquisition of knowledge from Natural Language (NL) instruction. This is very effective in human learning and will be essential for adapting future intelligent systems to the needs of naive users. The aim of the project is to investigate real-world Instruction Based-Learning (IBL) in a generic route instruction task. Users will engage in a dialogue with a mobile robot equipped with artificial vision, in order to teach it how to navigate a simplified maze-like environment. This experimental set-up will limit perceptual and control problems and also reduce the complexity of NL processing. The research will focus on the problem of how NL instructions can be used by an intelligent embodied agent to build a hierarchy of complex functions based on a limited set of low-level perceptual, motor and cognitive functions. We will investigate how the internal representations required for robot sensing and navigation can support a usable speech-based interface. Given the use of artificial vision and voice input, such a system can contribute to assisting visually impaired people and wheelchair users.
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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.ed.ac.uk |