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EPSRC Reference: GR/K78942/01
Title: LOCATING SPECIFIC SOUND SOURCES IN NOISY ENVIRONMENTS: CAN A ROBOT DO WHAT A CRICKET CAN?
Principal Investigator: Hallam, Professor J
Other Investigators:
Webb, Professor B
Researcher Co-Investigators:
Project Partners:
Department: Sch of Informatics
Organisation: University of Edinburgh
Scheme: Standard Research (Pre-FEC)
Starts: 12 February 1996 Ends: 11 August 1997 Value (£): 107,852
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Summary on Grant Application Form
In this research we propose to implement and evaluate robot-based models of neural mechanisms hypothesised to explain the crickets' ability to approach a conspecific sound in a noisy environment; in particular the ability to approach the best song source out of several possibilities without confusion.In previous work we have shown that the selectivity for the conspecific song can be imitated in a robot using simple processes to decide which way to turn and without special recognition filters. We would like to discover whether such processes can also explain the apparent choice behaviour in complex, noisy environments. Proper evaluation requires the use of a biologically accurate auditory circuit on a small and easily controlled robot that can be tested under a range of conditions, to assess performance in this task in relation to crickets and other robots. Linking biology and robotics in this way is currently of high interest. It promises to improve understanding of sensorimotor perception, with benefits both for explaining existing systems, and for designing new ones that reflect the effective, robust behaviour of animals.
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