Robotics-Computer Vision Laboratory
{'Code': '11040000', 'Directorate': {'Abbreviation': 'EDU', 'LongName': 'Directorate for STEM Education'}, 'Division': {'Abbreviation': 'DUE', 'LongName': 'Division Of Undergraduate Education'}}
{'SignBlockName': 'Duncan E. McBride', 'PO_EMAI': None, 'PO_PHON': None}
This project will provide undergraduate students with an opportunity to         work with advanced robotic systems.  The College will acquire five              additional HERO Jr. robots, ten digital cameras and ten host computers.         The robots will be used to test interface software written to control           locomotion, steering, speech synthesis, ultrasonic transducers, and             communication protocols between the robot and a host computer.  The             digital cameras will be used to demonstrate topics in computer vision           such as gray level imaging, image reconstruction, boundary and edge             detection, and motion detection.  The host computer will be used to             write, assemble, and save programs written for the robot.  It will also         be used to display the reconstructed images coming from the camera via          the robot.  This robotic-computer vision lab will prepare the students          for an actual industrial environment and will encourage them to pursue          graduate work.
{'FirstName': 'John', 'LastName': 'Cicero', 'PI_MID_INIT': 'A', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'John A Cicero', 'EmailAddress': None, 'NSF_ID': '000298272', 'StartDate': '05/01/1986', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'Benedictine University', 'CityName': 'LISLE', 'ZipCode': '605322851', 'PhoneNumber': '6308296004', 'StreetAddress': '5700 COLLEGE RD', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Illinois', 'StateCode': 'IL', 'CONGRESSDISTRICT': '11', 'CONGRESS_DISTRICT_ORG': 'IL11', 'ORG_UEI_NUM': 'C2VYCKBGJBG1', 'ORG_LGL_BUS_NAME': 'BENEDICTINE UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}
{'Name': None, 'CityName': None, 'StateCode': None, 'ZipCode': None, 'StreetAddress': None, 'CountryCode': None, 'CountryName': None, 'StateName': None, 'CountryFlag': None, 'CONGRESSDISTRICT': None, 'CONGRESS_DISTRICT_PERF': '""'}
{'Code': '7400', 'Text': 'UNDERGRAD INSTRM & LAB IMPROVE'}
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=1986&All=true', 'xml': '8650203.xml'}