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As industry undergoes revolutionary changes with the integration of advanced controls, intelligent sensors and the machine to machine connectivity the limitations and expectations of autonomous systems are quickly rising. Well the autonomy of manufacturing robots is proving to be a key growth factor for efficient manufacturing, a new frontier is presenting itself. The next challenge to overcome will be the knowledge transfer required for human and machine collaboration. The focus of the proposed project is the constructions of a mobile autonomous visual inspection system (MAVIS) that will be designed and constructed to function in a manufacturing environment. The design of the entire system will consider the codifications of tacid knowledge of a human inspector into the inspection plan while keeping in mind that limitations of standard manufacturing robot equipment.
Meaghan Charest-Finn;Scott Nokleby
Eigen Innovations Inc
Engineering
Professional, scientific and technical services
University of Ontario Institute of Technology
Accelerate
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Mitacs is funded by the Government of Canada, the Government of Alberta, the Government of British Columbia, Research Manitoba, the Government of New Brunswick, the Government of Newfoundland and Labrador, the Government of Nova Scotia, the Government of Ontario, Innovation PEI, the Government of Quebec, the Government of Saskatchewan, and the Government of Yukon.