Feasibility of Real-Time Visual Control of Robots
{'Code': '07030000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'CMMI', 'LongName': 'Div Of Civil, Mechanical, & Manufact Inn'}}
{'SignBlockName': 'K. (Cheena) Srinivasan'}
An exploratory effort is underway to define the capabilities for                vision-based robot control in real-time using one of the new parallel           vision machines, the PIPE computer.  This will involve new challenges,          notably the need to detect and track moving objects as part of the              control process.  This will require extending the capabilities of the           vision-processing system and integration with a robot arm to be                 controlled.  The study should reveal potential problems that will need          to be addressed in working later toward real-time, vision-based                 adaptive control of robots.  Until this preliminary exploration is              done, it would be difficult to produce a meaningful proposal for the            more major long-term research effort.
{'FirstName': 'Allen', 'LastName': 'Waxman', 'EmailAddress': None, 'StartDate': '06/15/1986', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'Trustees of Boston University', 'CityName': 'BOSTON', 'ZipCode': '022151300', 'PhoneNumber': '6173534365', 'StreetAddress': '881 COMMONWEALTH AVE', 'CountryName': 'United States', 'StateName': 'Massachusetts', 'StateCode': 'MA'}
{'Code': '1465', 'Text': 'PRODUCTION SYSTEMS'}
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=1986&All=true', 'xml': '8612272.xml'}