This study seeks to advance technologies pertaining to integration of low-cost collaborative robots to perform scanning operations\nwhere moderate accuracy is needed. Part inspection is an almost universal aspect of manufacturing which traditionally requires\nhuman observation. Advanced metrology techniques, such as scanning, allow greater inspection capabilities but still require a\nhuman operator and require significant capital investment.Using off-the-shelf line scanners in conjunction with small collaborative\nrobots can completely automate the inspection process while minimizing cost. This project seeks to investigate the feasibility of\nutilizing a UR5 robot with a Keyence line scanner for scanning inspection in an industrial setting. Data from the line scanner is\ngathered, along with the position and orientation of the end-effector of the robot. The data are collected, combined, and analyzed\nin MATLAB to generate surface geometry. A user interface will allow viewing of the specific points gathered, expedite product\ninspection during manufacturing, andinvolve humans inhigher skill-based decision-making tasks. Aprofessional grade scan of the\ntest part is used for comparison of experimentally gathered data. Feasibility is assessed on cost, effectiveness, ease of programming\nand operation, and development difficulty. In the preliminary result, it was found that the UR5 and line scanner provide a cheap\nand easily programmable and automated solution to line inspection.However, effectiveness and difficulty of development may pose\nchallenges that require future research.
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