首页|Autonomous Robotic System For Placing And Fastening Paneling Material For Building Construction Operations' in Patent Application Approval Process (USPTO 20230415351)
Autonomous Robotic System For Placing And Fastening Paneling Material For Building Construction Operations' in Patent Application Approval Process (USPTO 20230415351)
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The following quote was obtained by the news editors from the background information supplied bythe inventors: “This section introduces aspects that may help facilitate a better understanding of thedisclosure. Accordingly, these statements are to be read in this light and are not to be understood asadmissions about what is or is not prior art.“For many decades now, construction in residential and commercial buildings involve erecting framedwalls; and once the framing operation is complete to hang paneling material on the interior surfaces aswell as exterior surfaces. These paneling materials include drywall as well as other paneling materials suchas foam. The paneling material are typically in standard sizes and tend to be heavy. For example a typical5/8’ drywall is about 2.2 Lb/ft2 making a sheet of 4 ft by 10 ft approximately 88 Lbs. Such a weightis difficult to lift for a worker, in addition to the sheer size of such a panel, making handling a panel ofthis size challenging, particularly when installing such a panel on a ceiling. A typical operation requires atleast two individuals where one or both place the panel at an appropriate place and quickly fasten using,typically nails, until the panel is securely attached to the framed wall or ceiling. Thereafter, the worker(s)begin to fasten the drywall panel with additional fasteners which are typically drywall screws. The nails,however, have a tendency of popping out after a period of time making imperfections on the surface ofthe drywall. In addition, it is quite difficult to maintain a high level of consistency in the way the screwsare placed in the drywall panel, thereby making the finishing more difficult.
Autonomous RobotEmerging TechnologiesMachine LearningPurdue Research FoundationRoboticsRobots
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