The Cerebellum Analogue Approach to Robot Sequence Control

Author(s):  
J.F. Young ◽  
J.J. Walker

The programmable sequence‐control systems used for most of the industrial robots available at the present time are basically simple and straight‐forward. While these are very desirable attributes for any system which has to achieve reliability in the performance of a repetitive task on the shop floor, there can be attendant disadvantages. Although most of the current systems are flexible enough to allow for fairly easy re‐programming by a human operator, this flexibility does not in general extend to the inclusion of any facilities for control adaptation to slight and possibly quite random changes in either the operational requirements or in the operational environment. The features of flexibility and adaptability, so obvious and so useful in the human operator, are notably absent from robot control systems.

Symmetry ◽  
2020 ◽  
Vol 12 (9) ◽  
pp. 1429
Author(s):  
Olaf Ciszak ◽  
Jakub Juszkiewicz ◽  
Marcin Suszyński

The purpose of the article was to build a low-cost system for identifying shapes in order to program industrial robots (on the base of the six-axis “ABB IRB 140” robot) for a welding process in 2D. The whole system consisted of several elements developed in individual stages. The first step was to identify the existing robot control systems, which analysed images from an attached low-cost digital camera. Then, a computer program, which handles communication with the digital camera capturing and processing, was written. In addition, the program’s task was to detect geometric shapes (contours) drawn by humans and to approximate them. This study also presents research on a binarization and contour recognition method for this application. Based on this, the robot is able to weld the same contours on a 2D plane.


Processes ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. 494 ◽  
Author(s):  
Lucian Stefanita Grigore ◽  
Iustin Priescu ◽  
Daniela Joita ◽  
Ionica Oncioiu

Today, industrial robots are used in dangerous environments in all sectors, including the sustainable energy sector. Sensors and processors collect and transmit information and data from users as a result of the application of robot control systems and sensory feedback. This paper proposes that the estimation of a collaborative robot system’s performance can be achieved by evaluating the mobility of robots. Scenarios have been determined in which an autonomous system has been used for intervention in crisis situations due to fire. The experimental model consists of three autonomous vehicles, two of which are ground vehicles and the other is an aerial vehicle. The conclusion of the research described in this paper highlights the fact that the integration of robotic systems made up of autonomous vehicles working in unstructured environments is difficult and at present there is no unitary analytical model.


Author(s):  
V.G. Farhadov ◽  
◽  
A.A. Babaeva ◽  
A.T. Mamedova ◽  
◽  
...  

1988 ◽  
Vol 21 (9) ◽  
pp. 266-271 ◽  
Author(s):  
G R Ward

2015 ◽  
Vol 805 ◽  
pp. 223-230 ◽  
Author(s):  
Paryanto ◽  
Alexander Hetzner ◽  
Matthias Brossog ◽  
Jörg Franke

In this paper, a modular dynamic model of an industrial robot (IR) for predicting and analyzing its energy consumption is developed. The model consists of control systems, which include a state-of-the-art feedback linearization controller, permanent magnet synchronous drives and the mechanical structure with Coulomb friction and linear damping. By using the developed model, a detailed analysis of the influence of different parameter sets on the energy consumption and loss energy of IRs is investigated. The investigation results show that the operating parameters, robot motor drives, and mechanical damping and elasticity of robot transmissions have a significant effect on the energy consumption and accuracy of IRs. However, these parameters are not independent, but rather interrelated. For example, a higher acceleration and velocity shortens IRs’ operating periods, but needs a greater motor current, tends to excite vibrations to a greater extent, and thus produces a higher amount of loss energy.


1994 ◽  
pp. 3-32
Author(s):  
Alfred Bauer ◽  
Richard Bowden ◽  
Jim Browne ◽  
James Duggan ◽  
Gerard J. Lyons

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