Towards a CAD-based Automated Robot Offline-Programming Approach for Disassembly

Beck, Joshua; Neb, Alexander; Barbu, Katharina

doi:10.1016/j.procir.2021.11.215

Cited by 8 publications

(2 citation statements)

References 14 publications

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“…Consequently, there is a growing demand for flexible and reconfigurable systems capable of eliminating the laborious and time-consuming hardware setup and software programming work [39]. In this context, parametric offline reprogramming is gaining increasing attention in various robotbased activities [15,[40][41][42]. Among robot-supported visual inspections, a new approach for specifying the spatial and temporal trajectory of visual inspection based on CAD models of workpieces has been proposed [43].…”

Section: Computer-aided Vision Inspection (Cavi)mentioning

confidence: 99%

A framework for flexible and reconfigurable vision inspection systems

Lupi,

Biancalana,

Rossi

et al. 2023

Int J Adv Manuf Technol

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Reconfiguration activities remain a significant challenge for automated Vision Inspection Systems (VIS), which are characterized by hardware rigidity and time-consuming software programming tasks. This work contributes to overcoming the current gap in VIS reconfigurability by proposing a novel framework based on the design of Flexible Vision Inspection Systems (FVIS), enabling a Reconfiguration Support System (RSS). FVIS is achieved using reprogrammable hardware components that allow for easy setup based on software commands. The RSS facilitates offline software programming by extracting parameters from real images, Computer-Aided Design (CAD) data, and rendered images using Automatic Feature Recognition (AFR). The RSS offers a user-friendly interface that guides non-expert users through the reconfiguration process for new part types, eliminating the need for low-level coding. The proposed framework has been practically validated during a 4-year collaboration with a global leading automotive half shaft manufacturer. A fully automated FVIS and the related RSS have been designed following the proposed framework and are currently implemented in 7 plants of GKN global automotive supplier, checking 60 defect types on thousands of parts per day, covering more than 200 individual part types and 12 part families.

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Section: Computer-aided Vision Inspection (Cavi)mentioning

confidence: 99%

A framework for flexible and reconfigurable vision inspection systems

Lupi,

Biancalana,

Rossi

et al. 2023

Int J Adv Manuf Technol

View full text Add to dashboard Cite

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“…Extendable functions for robotic programming, e.g. path planning and control system for complex production processes, are embedded in most offline programming tools ( Beck et al (2021) ; Funes-Lora et al (2021) ). A virtual robot controller (VRC) simulates the exact robot behaviour for a specific robot platform in the virtual environment.…”

Section: Related Workmentioning

confidence: 99%

No-code robotic programming for agile production: A new markerless-approach for multimodal natural interaction in a human-robot collaboration context

et al. 2022

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Industrial robots and cobots are widely deployed in most industrial sectors. However, robotic programming still needs a lot of time and effort in small batch sizes, and it demands specific expertise and special training, especially when various robotic platforms are required. Actual low-code or no-code robotic programming solutions are exorbitant and meager. This work proposes a novel approach for no-code robotic programming for end-users with adequate or no expertise in industrial robotic. The proposed method ensures intuitive and fast robotic programming by utilizing a finite state machine with three layers of natural interactions based on hand gesture, finger gesture, and voice recognition. The implemented system combines intelligent computer vision and voice control capabilities. Using a vision system, the human could transfer spatial information of a 3D point, lines, and trajectories using hand and finger gestures. The voice recognition system will assist the user in parametrizing robot parameters and interacting with the robot’s state machine. Furthermore, the proposed method will be validated and compared with state-of-the-art “Hand-Guiding” cobot devices within real-world experiments. The results obtained are auspicious, and indicate the capability of this novel approach for real-world deployment in an industrial context.

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Towards an Automated System for Robot Assembly Cell Layout Optimization

Beck

2023

Arena2036

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The manufacturing industry is exposed to various challenges: Increasing competition from companies abroad, the growing unpredictability and volatility of markets, and rising customer demands forcing manufacturers to be highly flexible and offer low-cost products. Using simulation tools, productions systems can be planned and analyzed before the deployment in the field, reducing the commissioning of named systems and avoiding cost-intensive errors. However, manual generation and validation of simulation models is a tedious task and demands expert knowledge of the planners about the simulations tools used. Automated generation of simulation models promises to reduce further commissioning time, making simulation tools more cost-effective. This paper compares existing approaches for 3D simulation generation and/or validation and further presents a concept for automated generation of a 3D model of a robot cell, creating a simulation and validating the processes taking place with minimum user intersection to accelerate robot cell commissioning. This is done by combining layout information with assembly related information extracted directly from 3D product model.

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Towards a CAD-based Automated Robot Offline-Programming Approach for Disassembly

Cited by 8 publications

References 14 publications

A framework for flexible and reconfigurable vision inspection systems

A framework for flexible and reconfigurable vision inspection systems

No-code robotic programming for agile production: A new markerless-approach for multimodal natural interaction in a human-robot collaboration context

Towards an Automated System for Robot Assembly Cell Layout Optimization

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