Motion Control in Intelligent Machines

2019 ◽

Vol 2019 ◽

pp. 1-12

Author(s):

Branesh M. Pillai ◽

Jackrit Suthakorn

Keyword(s):

Control System ◽

Control Systems ◽

Motion Control ◽

Search And Rescue ◽

Rough Terrain ◽

Motion Control System ◽

Intelligent Machines ◽

Human Control ◽

Rescue Robots

Several researchers have revealed the huge potentials of rescue robots in disaster zones. In addition to searching for victims, these intelligent machines are also effective in obtaining useful information from the zones. These functions help to optimize the search and rescue missions. However, the fact that rescue robots have to operate in risky and dangerous environments necessitates the need for such machines to have an efficient motion control system, which can help them to operate autonomously or with minimal human control. This paper reviews the use of reliable controllers in enhancing the sensing capabilities of rescue robots. Huge potential of sensorless sensing method in the rescue robots are highlighted. It is shown that the use of sensorless sensing method enables developer to create simple and cheaper robots for various complex situations. Thus, it is imperative to conduct further studies on how to optimize the operations of robots that lack sensors.

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Review of Artificial Experts: Social Knowledge and Intelligent Machines.

Contemporary Psychology ◽

10.1037/031847 ◽

1992 ◽

Vol 37 (1) ◽

pp. 91-91

Author(s):

No authorship indicated

Keyword(s):

Social Knowledge ◽

Intelligent Machines

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THE CONCEPT OF AUTONOMOUS SYSTEMS IN INDUSTRY 4.0

Advanced Logistic Systems - Theory and Practice ◽

10.32971/als.2019.006 ◽

2019 ◽

Vol 12 (1) ◽

pp. 77-87

Author(s):

György Kovács ◽

Rabab Benotsmane ◽

László Dudás

Keyword(s):

Industry 4.0 ◽

Intelligent Systems ◽

Autonomous Systems ◽

Essential Element ◽

Industrial Sector ◽

Life Cycles ◽

Multi Agent Systems ◽

New Paradigm ◽

Intelligent Machines ◽

Digital Network

Recent tendencies – such as the life-cycles of products are shorter while consumers require more complex and more unique final products – poses many challenges to the production. The industrial sector is going through a paradigm shift. The traditional centrally controlled production processes will be replaced by decentralized control, which is built on the self-regulating ability of intelligent machines, products and workpieces that communicate with each other continuously. This new paradigm known as Industry 4.0. This conception is the introduction of digital network-linked intelligent systems, in which machines and products will communicate to one another in order to establish smart factories in which self-regulating production will be established. In this article, at first the essence, main goals and basic elements of Industry 4.0 conception is described. After it the autonomous systems are introduced which are based on multi agent systems. These systems include the collaborating robots via artificial intelligence which is an essential element of Industry 4.0.

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