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Details of Grant 

EPSRC Reference: GR/M90023/01
Title: INSTRUCTION-BASED LEARNING FOR MOBILE ROBOTS
Principal Investigator: Bugmann, Dr G
Other Investigators:
Researcher Co-Investigators:
Project Partners:
Department: Computing
Organisation: University of Plymouth
Scheme: Standard Research (Pre-FEC)
Starts: 20 March 2000 Ends: 19 September 2003 Value (£): 154,641
EPSRC Research Topic Classifications:
Artificial Intelligence Image & Vision Computing
EPSRC Industrial Sector Classifications:
No relevance to Underpinning Sectors
Related Grants:
GR/M90160/01
Panel History:  
Summary on Grant Application Form
This project explores a still untapped method of knowledge acquisition and learning by intelligent systems: The acquisition of knowledge from verbal 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 instruct it how to navigate to a given place in 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 agent to build a hierarchy of complex functions based on a small set of low-level perceptual, motor and cognitive functions. The relation between internal representation and natural user-machine dialogue will be investigated. Given the use of artificial vision and voice input, such system could contribute to assisting visually impaired people and wheelchair users.
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Organisation Website: http://www.plym.ac.uk