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- 저자 : Yuan-Ping Luh (검색결과 2 건)
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Yuan-Ping Luh,Liao-Chuan Huang,Hao-Jan Lu,Chih-Hsing Chu 한국정밀공학회 2020 International Journal of Precision Engineering and Vol.7 No.3
Mixed production is a practical solution to realize the idea of mass product customization. The production system needs to adapt to raw materials of product variants appearing in the production line, and thus to properly complete the manufacturing task. Such system autonomy is a core competence in smart manufacturing. This paper presents a smart manufacturing solutionfor shoe sole gluing in mixed production environment. The solution automatically guides a 5-axis CNC dispensing machine to perform the gluing task of a sole randomly placed on the worktable without use of fi xturing. A single RGB-D camera is used to capture the color and depth data of the work environment. A two-stage algorithm is implemented to provide the intelligence required by the solution using the captured data as input. The LINEMOD method fi rst determines a rough pose from training data of all shoe soles at pre-defi ned orientations. A trimmed interactive closest point (ICP) method then refi nes the pose using the rough one as the initial solution. Pre-determined working paths are transformed into the correct location around the sole with the refi ned pose. The corresponding motion commands drive the dispenser controller to complete the gluing task without collision. Test results of real shoe soles validate the eff ectiveness of the proposed solution. This work contributes to smart manufacturing in the shoe making industry, which has been less studied in the past.
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Chih-Hsing Chu,Yu-Wang Liu,Pai-Chia Li,Liao-Chuan Huang,Yuan-Ping Luh 한국정밀공학회 2020 International Journal of Precision Engineering and Vol.7 No.5
This study presents a programming by demonstration (PbD) interface in augmented reality for motion planning in a three-axis CNC glue dispenser. The interface assists a human planner to effectively determine dispenser motion in a planning task. An augmented reality application prompts the planner with instructive information in a video of real environment while guiding the machine in 3D space to dispense glue on a work part. The purpose involves facilitating the generation of the dispenser’s motion commands by enhancing individual spatial reasoning between the dispenser’s tip and the work part. CAD models are not required prior to the planning task, thus eliminating the use of motion planning software. Test results demonstrate the effectiveness of the proposed interface with respect to accelerating the process of the dispenser PbD. The study shows the practical value of augmented reality as a cost-effective interfacing technology for human–machine collaborations in smart manufacturing.
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