
NSF Org: |
CMMI Division of Civil, Mechanical, and Manufacturing Innovation |
Recipient: |
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Initial Amendment Date: | September 4, 2007 |
Latest Amendment Date: | September 4, 2007 |
Award Number: | 0700830 |
Award Instrument: | Standard Grant |
Program Manager: |
Shih-Chi Liu
CMMI Division of Civil, Mechanical, and Manufacturing Innovation ENG Directorate for Engineering |
Start Date: | September 1, 2007 |
End Date: | October 31, 2008 (Estimated) |
Total Intended Award Amount: | $240,000.00 |
Total Awarded Amount to Date: | $240,000.00 |
Funds Obligated to Date: |
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History of Investigator: |
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Recipient Sponsored Research Office: |
1 BROOKINGS DR SAINT LOUIS MO US 63130-4862 (314)747-4134 |
Sponsor Congressional District: |
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Primary Place of Performance: |
1 BROOKINGS DR SAINT LOUIS MO US 63130-4862 |
Primary Place of
Performance Congressional District: |
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Unique Entity Identifier (UEI): |
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Parent UEI: |
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NSF Program(s): |
SENSORS AND SENSING SYSTEMS, MATH PRIORITY SOLICITATION |
Primary Program Source: |
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Program Reference Code(s): |
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Program Element Code(s): |
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Award Agency Code: | 4900 |
Fund Agency Code: | 4900 |
Assistance Listing Number(s): | 47.041 |
ABSTRACT
The proposal utilizes an interdisciplinary approach to study the locomotion of C. elegans and their sensory response to environmental variations. C. elegans is one of the mostly studied model animals in biology due to its genetic tractability, sequenced genome, simple anatomy and body transparency. It is also a superb system to study mobility and sensing. This project will use C. elegans as a simple model system of living organisms to obtain critical physical information for understanding the interplay between sensing, locomotion and environment, incorporate this information into theoretical and computational models of undulatory locomotion.
This is a collaborative research project between a mechanical engineer at Washington University and a mathematical at the New York University.
This research is expected to impact on smart sensing and actuation technology, and the results will serve as building blocks for development of smart devices that can lead to robust design of adaptive systems and structures.
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