Adaptive Control of Hand-Eye Coordination in Uncertain      Environments
{'Code': '07030000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'CMMI', 'LongName': 'Div Of Civil, Mechanical, & Manufact Inn'}}
{'SignBlockName': 'K. (Cheena) Srinivasan', 'PO_EMAI': None, 'PO_PHON': None}
The research embodies a novel approach to visually guided control of            multijoint robot movement under conditions of unforeseen errors.  It is         based on a new theory of mass-acting neuron models integrating visual           sensing and motor manipulation.  The theory uses principles of neural           network organization to derive parallel architectures and algorithms            for hierarchies of computations, which will implement libraries of              basic motions.  The theory has been well-developed in a single-joint            case, that of ballistic eye movements.  The computer simulations will           be used to explore extension of the theory to the case of a multi-joint         robot arm.
{'FirstName': 'Michael', 'LastName': 'Kuperstein', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Michael Kuperstein', 'EmailAddress': 'michael@metaphorivr.com', 'NSF_ID': '000112455', 'StartDate': '03/01/1986', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'Wellesley College', 'CityName': 'WELLESLEY HILLS', 'ZipCode': '024818203', 'PhoneNumber': '7812832079', 'StreetAddress': '106 CENTRAL ST', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Massachusetts', 'StateCode': 'MA', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_ORG': 'MA05', 'ORG_UEI_NUM': 'Z17DSLNJ1DX1', 'ORG_LGL_BUS_NAME': 'WELLESLEY COLLEGE', 'ORG_PRNT_UEI_NUM': None}
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[{'Code': '1465', 'Text': 'PRODUCTION SYSTEMS'}, {'Code': '5345', 'Text': 'Engineering of Biomed Systems'}, {'Code': '9824', 'Text': None}]
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