Symbolic and Qualitative Reasoning for Error Recovery in    Robot Programs
{'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}
This research explores the possibilities of automation of                       error-handling for robot assembly tasks.  The ability to cope with              uncertainties due to errors, failures, or other unplanned situations is         critical to the effectiveness of machines and robots.  That capability          depends on the machines having access to information about tasks,               objects, tools, and the work environment.  This project centers on the          question of what information needs to be available to a machine to              detect and handle unexpected situations.  This involves issues of               characterizing the required information, automating its acquisition,            deciding on appropriate representations of the information for                  real-time use, distinguishing an error condition from normal events,            tracing causes of errors, and generating recovery procedures.
{'FirstName': 'Maria', 'LastName': 'Gini', 'PI_MID_INIT': 'L', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Maria L Gini', 'EmailAddress': 'gini@cs.umn.edu', 'NSF_ID': '000468121', 'StartDate': '06/15/1986', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'University of Minnesota-Twin Cities', 'CityName': 'MINNEAPOLIS', 'ZipCode': '554552009', 'PhoneNumber': '6126245599', 'StreetAddress': '200 OAK ST SE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Minnesota', 'StateCode': 'MN', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_ORG': 'MN05', 'ORG_UEI_NUM': 'KABJZBBJ4B54', 'ORG_LGL_BUS_NAME': 'REGENTS OF THE UNIVERSITY OF MINNESOTA', 'ORG_PRNT_UEI_NUM': None}
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{'Code': '1465', 'Text': 'PRODUCTION SYSTEMS'}
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