Expert system for teaching robots in a flexible manufacturing line

Calangiu, G. A.; Stoica, M.; Sárkány, István; Sisak, F.

doi:10.1109/ines.2011.5954754

Cited by 3 publications

(3 citation statements)

References 2 publications

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“…But VR needs wellstructured environment, and apparently ignores the knowledge succession between the human worker and the system. Galangiu et al (2011) constructed an expert system for robot programming. However, the establishment of expert system is time-consuming and inefficient itself, due to the fact that rules must be carefully extracted in order to avoid inconsistency.…”

Section: Related Workmentioning

confidence: 99%

Knowledge-Intensive Teaching Assistance System for Industrial Robots Using Case-Based Reasoning and Explanation-Based Learning

Sun

Sawaragi

Horiguchi

et al. 2014

IFAC Proceedings Volumes

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Section: Related Workmentioning

confidence: 99%

Knowledge-Intensive Teaching Assistance System for Industrial Robots Using Case-Based Reasoning and Explanation-Based Learning

Sun

Sawaragi

Horiguchi

et al. 2014

IFAC Proceedings Volumes

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“…The new system implements revolutionary notions at that time, widely used even today in the profile industry, such as: modular equipment with automated tools, automated replacement of the working head and pallets; the machines, the conveyor for transporting the tools, connected to a central computer, various indications grouped around the machines and controlled automatically in a waiting line, in random order; flexibility, to make a family of benchmarks in small batches [1].…”

Section: Introductionmentioning

confidence: 99%

Simulation of a Flexible Manufacturing System for Machining Some Industrial Parts

Patic

2023

Design, Construction, Maintenance

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One thought about this work because we consider that the operating procedure of flexible systems could be introduced in most factories that propose and have as a priority large-scale production. The mode of operation and planning of each robot is very close to reality thanks to the 3D simulation, made in the Alice three-dimensional graphic environment. With this procedure, one can highlight the main characteristic of a flexible manufacturing system, that is, the flexibility obtained through automation and at the same time the saving of working time. Thanks to the fact that a computerized machine system is used, any piece can be executed, at any time and in any quantity, representing an advantage for any factory that uses this system. Another major advantage is the development of new programs that allow the solution of numerous problems related to the coordination of the various components of the system and the optimal operation of the machine.

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“…The work developed in [3], demonstrates that expert systems can be used for teaching robots in a flexible manufacturing line how to act in different situations. Nevertheless the expert system runs in a separate computer that is connected with the robot controller.…”

Section: Introductionmentioning

confidence: 99%

Decision making by using tree-like structures on industrial controllers

Moctezuma

Lobov

Lastra

2012

2012 Tenth International Conference on ICT and Knowledge Engineering

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The implementation of a decision making technique on industrial controllers is a constrained task since the controllers are programmed with languages standardized by the IEC 61131-3, which are meant for controlling processes, limiting the possibilities that traditional high level programming languages offer. So far most of the implementations of decision making techniques are done by executing the code on an external computer which is interfaced to an industrial controller. Decision tree structures can be used as a visual tool for designers to model the decision making of an industrial controller intuitively. Different situations can be modeled so that the controller knows how to act for each of them. Tree-like structures can be visualized as nested Boolean evaluations which can be easily converted to any of the IEC 61131-3 languages. Therefore the decision making logic can be executed directly on the industrial controller. The proof of concept is tested on a SCARA robot that has to execute different sequence of movements depending on the components state within a flexible manufacturing cell. Keywords-light decision making, IEC 611-31 compliant, industrial controller, decision tree structuresI.

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Expert system for teaching robots in a flexible manufacturing line

Cited by 3 publications

References 2 publications

Knowledge-Intensive Teaching Assistance System for Industrial Robots Using Case-Based Reasoning and Explanation-Based Learning

Knowledge-Intensive Teaching Assistance System for Industrial Robots Using Case-Based Reasoning and Explanation-Based Learning

Simulation of a Flexible Manufacturing System for Machining Some Industrial Parts

Decision making by using tree-like structures on industrial controllers

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