scholarly journals Development and Validation of Guidelines for Safety in Human-Robot Collaborative Assembly Systems

2021 ◽  
pp. 107801
Author(s):  
Luca Gualtieri ◽  
Erwin Rauch ◽  
Renato Vidoni
2018 ◽  
pp. 188-197 ◽  
Author(s):  
Manuel Fechter ◽  
Robert Keller ◽  
Shengjian Chen ◽  
Carsten Seeber

Author(s):  
M. Dalle Mura ◽  
G. Dini

AbstractAssembly represents a fundamental step in manufacturing, being a time-consuming and costly process, on which the final quality of the product mostly depends. Augmented Reality (AR) may represent a key tool to assist workers during assembly, thanks to the possibility to provide the user of real-time instructions and information superimposed on the work environment. Many implementations have been developed by industries and academic institutions for both manual and collaborative assembly. Among the most remarkable examples of the last few years are applications in guidance of complex tasks, training of personnel, quality control and inspection. This keynote paper aims to provide a useful survey by reviewing recent applications of AR in assembly systems, describing potential advantages, as well as current limitations and future perspectives.


Author(s):  
Giovanni Boschetti ◽  
Matteo Bottin ◽  
Maurizio Faccio ◽  
Riccardo Minto

AbstractIn the last decade, collaborative assembly systems (CAS) are becoming increasingly common due to their ability to merge the flexibility of a manual assembly system with the performance of traditional robotics. Technical constraints, e.g., dedicated tools or resources, or performance requirements, e.g., throughput, could encourage the use of a CAS built around a multi-robot and multi-operator layout, i.e., with a number of resources greater than 2. Starting from the development of a prototype multi-robot multi-operator collaborative workcell, a simulation environment was developed to evaluate the makespan and the degree of collaboration in multi-robot multi-operator CAS. From the simulation environment, a mathematical model was conceptualized. The presented model allows estimating, with a certain degree of accuracy, the performances of the system. The results have investigated how several process characteristics, i.e. the number and type of resources, the resources layout, the task allocation method, and the number of feeding devices, influence the degree of collaboration between the resources. Lastly, the authors propose a compact analytic formulation, based on an exponential function, and define the methods and the influence factors to determine its parameters.


2018 ◽  
Vol 108 (09) ◽  
pp. 592-596
Author(s):  
D. Pischke ◽  
T. Recker ◽  
S. Blankemeyer ◽  
A. Oubari ◽  
A. Raatz

Eine Herausforderung bei der Gestaltung kollaborativer Montagesysteme liegt in der optimalen Aufgabenzuordnung für Mensch und Roboter. Dabei soll sowohl eine geringe Durchlaufzeit als auch eine optimale Ausnutzung der Stärken der jeweiligen Ressource erreicht werden. In der Praxis stehen diese beiden Ziele häufig im Konflikt. In diesem Artikel wird eine Methodik zur kennzahlenorientierten Aufgabenzuordnung in MRK-Systemen vorgestellt, die es erlaubt, sich in diesem Zielkonflikt bewusst zu positionieren.   One challenge in the design of collaborative assembly systems lies in the optimal assignment of tasks to humans or robots. Both, a short throughput time and an optimal exploitation of the advantages of each resource should be achieved. However, these are usually two conflicting goals. This paper describes a methodology for the assignment of tasks in collaborative assembly systems which allows for a deliberate alignment within the range of these conflicting objectives.


2007 ◽  
Vol 177 (4S) ◽  
pp. 7-7
Author(s):  
Brent K. Hollenbeck ◽  
J. Stuart Wolf ◽  
Rodney L. Dunn ◽  
Martin G. Sanda ◽  
David P. Wood ◽  
...  

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