Development of a Flexible Assembly System Using Industrial Robot with Machine Vision Guidance and Dexterous Multi-finger Gripper

Author(s):  
Atul Mishra ◽  
I. A. Sainul ◽  
Sudipta Bhuyan ◽  
Sankha Deb ◽  
Debashis Sen ◽  
...  
1995 ◽  
Vol 15 (1) ◽  
pp. 34-34
Author(s):  
Clive Loughlin

Examines the development of a flexible assembly machine, GENASYS [Generic Assembly System] which has been designed to produce a range of components. The machine comprises two manipulator arms, a tool changer and a shuttle system for the pallets on which the assembly operations are performed. Each manipulator is able to select a different tool from a carousel tool change mechanism that can accommodate up to 20 different tools. The machine can easily be programmed for a specific assembly operation and low batch numbers can be produced economically. Timescales for the design and installation of the machine are considerably shorter than for a dedicated assembly line and once installed in a factory new product variants can be accommodated within very short timescales and with low‐retooling costs.


1998 ◽  
Vol 31 (7) ◽  
pp. 77-80
Author(s):  
Vasile Enache ◽  
Gheorghe Boncoi ◽  
Gheorghitã Drãghici

Author(s):  
Vladimir Kuts ◽  
Tauno Otto ◽  
Toivo Tähemaa ◽  
Khuldoon Bukhari ◽  
Tengiz Pataraia

The use of industrial robots in modern manufacturing scenarios is a rising trend in the engineering industry. Currently, industrial robots are able to perform pre-programmed tasks very efficiently irrespective of time and complexity. However, often robots encounter unknown scenarios and to solve those, they need to cooperate with humans, leading to unnecessary downtime of the machine and the need for human intervention. The main aim of this study is to propose a method to develop adaptive industrial robots using Machine Learning (ML)/Machine Vision (MV) tools. The proposed method aims to reduce the effort of re-programming and enable self-learning in industrial robots. The elaborated online programming method can lead to fully automated industrial robotic cells in accordance with the human-robot collaboration standard and provide multiple usage options of this approach in the manufacturing industry. Machine Vision (MV) tools used for online programming allow industrial robots to make autonomous decisions during sorting or assembling operations based on the color and/or shape of the test object. The test setup consisted of an industrial robot cell, cameras and LIDAR connected to MATLAB through a Robot Operation System (ROS). The online programming tests and simulations were performed using Virtual/Augmented Reality (VR/AR) toolkits together with a Digital Twin (DT) concept, to test the industrial robot program on a digital object before executing it on the real object, thus creating a safe and secure test environment.


Author(s):  
Giampiero Campa ◽  
Mario Luca Fravolini ◽  
Antonio Ficola ◽  
Marcello Napolitano ◽  
Brad Seanor ◽  
...  

CIRP Annals ◽  
1997 ◽  
Vol 46 (1) ◽  
pp. 11-14 ◽  
Author(s):  
Peter Holmstedt ◽  
Lena Mårtensson ◽  
Anders Arnström

1997 ◽  
Vol 40 (1) ◽  
pp. 29-36 ◽  
Author(s):  
D. K. Giles ◽  
D. C. Slaughter

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