What are artificially intelligent robots:
Artificial Intelligence (AI) is a branch of computer science that aims to create intelligent machines. It has become an essential part of the technology industry.
The research associated with artificial intelligence is highly technical and specialized. The main problems of artificial intelligence include programming computers for certain characteristics, such as:
- Knowledge
- Reasoning
- Problems solution
- Perception
- Apprenticeship
- Planning
- Ability to manipulate and move objects
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Terminator – Ai Robots concept from Hollywood films
The main functional elements of an intelligent robotic system are:
(a) The ability of a robotic system to adapt to its immediate environment, detecting changes or differences from some pre-specified standard conditions and calculating, in real time, the necessary corrections for trajectories and/or manipulative actions.
(b) The ability to interact and communicate with associated devices and other computers so that a seamlessly integrated manufacturing system can be implemented, incorporating fail-safe procedures and alternative courses of actions to maintain production continuity.
Industrial robots have steadily developed as key components in factory automation. Recent trends indicate a growing need to improve the engineering of certain aspects of robotics, including teaching (the robot), adaptability to a system (including system expansion), and a robot support system.
The uses of industrial robots have expanded from the initial tasks of material handling, spot welding, arc welding and painting to assembly, sealing, deburring and inspection. In addition to the use of robots in manufacturing industries as high-performance terminal devices for factory automation, various robots are used in non-manufacturing industries, such as inspection robots in the nuclear power industry and service robots in tertiary industries.
The software servo system started a trend of adopting full digital servo system to increase accuracy. New control logic is being applied to improve response and path accuracy. Programmable controllers allow you to improve operability and expandability. Higher performance and increased functions make robots less easy to operate and keep the teaching process more complicated and time-consuming.
Intelligent Robot Teaching Methods:
Various intelligent robot teaching methods are:
(i) Direct Teaching:
Because a robot can be guided directly into the required position and posture, the direct teaching method is simpler. Operation via a joystick connected to the operation panel is the easiest method after direct teaching has started.
(ii) Expert System Based on Artificial Intelligence Technology:
With this system, job details are stored in advance in an intelligent database. The operator enters basic common conditions, such as, in the case of arc welding, the type of material, thickness, etc. If the welding path is entered, all working conditions will be determined based on basic common conditions, such as, in the case of arc welding, material type, thickness, etc.
If the welding path is entered, all working conditions will be determined based on the basic conditions stored in the intelligent database. Teaching data is automatically created at expert level (intelligent database level). If an expert tries to improve the quality of the smart database, the database users can work at the expert level.
(iii) Offline teaching:
In this method, teaching data from other robots is used, numerical values and commands are entered from the keyboard or graphics are entered in conversational form with the CRT screen. In all cases, data relating to working conditions, which are associated with your know-how, must be entered in the same way as in the expert system.
(iv) “Computer Aided Design/Computer Aided Manufacturing” (CAD/CAM) system:
In this system, the working data of the intelligent robot is prepared from CAD data from the first design process. This system is a kind of offline teaching system. Since a real robot is not used to input data for path creation, the coordinate system data must be corrected and simulation is required before loading the created data.
Smart robots are inevitable for application in fields where the work is extremely difficult or impossible for human to perform.
Some of these examples are:
Work that requires speed, precision, or function that exceeds human capabilities, or that requires entering a sterile environment, vacuum, outer space, the seabed, or around a nuclear reactor, places that a man cannot enter easily or easily. some.
Assembly in the optical industry requires high precision, which is extremely difficult for humans to achieve. Electronic parts are manufactured in a sterile room where only robots can work, as humans are considered a source of dust.
Artificial Intelligence in Manufacturing:
AI is used in various businesses, including gaming, banking, retail, enterprises and authorities, and is slowly becoming widespread in the field of production, facilitating the automation of industries. AI-driven machines are paving an easier path to the future, providing a sponsor of benefits – offering new opportunities, improving production efficiency, and bringing the discussion about machines closer to the individual discussion.
Knowledge automation is driving work based on the Next Industrial Revolution; By creating new ways to automate tasks, we could rebuild the way humans and devices socialize and reside, to generate an electronic economy that is better and more powerful.
AI helps overcome several internal problems that have plagued the sector: integration problems, decision complexity and information overload, from a lack of specialized knowledge. Adopting AI in stores allows companies to completely change their procedures. Let us see what AI is helping the manufacturing sector to achieve.
• Automatic Method for Humans: As the factory floor is taken over by AI and performs individual jobs that are monotonous and typical, employees can focus on advanced and elaborate undertakings. While AI handles the legwork, people can focus on driving innovation and driving their business to newer levels.
• 24/7 production: The use of robots and AI is particularly attractive in commercial manufacturing as they revolutionize mass production. Robots are capable of delivering greater quantities of quality assurance, optimizing the production model, increasing capacity, building automation solutions eliminating human errors and performing repetitive work.
Operating conditions: With a bit of bad luck happening on the factory floor, a shift towards AI means fewer people need to do labor-intensive and dangerous work. As humans are replaced by robots and perform mundane, high-risk tasks, the number of workplace casualties will plummet.
