The theory and practice of IAS are currently among the most intensively studied and promising areas in computer science and engineering which will certainly play a primarily goal role in future. These theories and applications provide a source linking all fields in which intelligent control plays a dominant role. Cognition, perception, action and learning are essential components of such systems and their use is tending extensively towards challenging applications (service robots, micro robots, bio robots, guard robots, warehousing robots). Many traditional working machines already used e.g. in agriculture or construction mining are going through changes to become remotely operated or even autonomous. Autonomous driving in certain conditions is then realistic target in near future.
Industrial robots used for manipulations of goods; typically consist of one or two arms and a controller. The term controller is used in at least two different ways in this context, we mean the computer system used to control the robot, often called a robot work-station controller. The controller may be programmed to operate the robot in a number of way; thus distinguishing it from hard automation.
Most often, industrial robot are stationary, and work is transported to them by conveyer or robot carts, which are often called autonomous guided vehicles (AVG). Autonomous guided vehicles are becoming increasing used in industrial for material transport. Most frequently, these vehicles use a sensor to follow a wire in the factory floor.
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