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10 Things Nobody Told You About Robot Invention - Development in the robotics industry

10 Things Nobody Told You About Robot Invention - Development in the robotics industry, Robot: It is a machine that is automatically operated and replaces human effort, although it may not resemble humans in appearance or perform functions in a way similar to humans by extension. Developed by Honda Motor Company, the American Honda car company, the touch screen on a digital tablet device, from computer keyboards to flash memory, the concept of artificial human predates recorded history, but the modern term is considered a robot derived from the Czech word (robota).


Robot Invention - Development in the robotics industry



What is the story of the invention of the robot?


The word robots first appeared in Isaac Asimov's science fiction story along with Asimov's later robotics stories, it set a new standard of plausibility about the potential difficulty in developing intelligent robots and the technical and social problems that might occur. a human being or allow a human being through inaction to harm him, a robot must comply with orders given by humans unless such orders conflict with the first law which states that the robot must be protected from harmful things.


As long as this protection does not conflict with the first or second law, theatrical robots were manufactured by humans, and the heartless factory owners exploited them until they revolted and eventually destroyed humanity. Whether they were biological, or mechanical, has not been determined, but the mechanical alternative has inspired generations of inventors. To build electric hominids, mechatronics has helped engineers create high-tech products such as industrial robots. The mechatronics major combines knowledge and skills from mechanical, electrical, and computer engineering to create high-tech products for industrial robots.


Unimate robot - An Electronically Controlled Heavy Lifting Arm for Industrial Applications


Machines with flexible behavior and some human-like physical attributes were developed for industry, the first stationary industrial robot was the programmable (Unimate), an electronically controlled hydraulic heavy lifting arm that could repeat an arbitrary sequence of movements, invented in 1954 AD, by an American engineer George Devol and was developed by (Unimation Inc), a company founded by American engineer Joseph Engelberger in 1956 AD, and in 1959 AD a prototype of (Unimate) was presented at the molding plant of General Motors in Trenton, New Jersey, in 1961 AD, the Condec Corp. (after purchasing Unimation the previous year) delivered the world's first production line robot to a GM plant.


Electric arms for more advanced computer-controlled, sensor-guided robots were then developed in the late 1960s and 1970s at the Massachusetts Institute of Technology (MIT) at Stanford University, where they were used with cameras in hand-eye robotics research. Scheinmann, in cooperation with (Unimation) of General Motors, designed the first arm used in the industry, called (PUMA), a (Programmable Universal Machine for Assembly). Mobile industrial robots first appeared in 1954 AD.


Development in the robotics industry:


Although industrial robots first appeared in the United States, the business did not flourish there. The Westinghouse Electric Corporation acquired Unimation in 1983 and closed down a few years later. Cincinnati Milacron, Inc., the main American company The other hydraulic arm, its robotics division in 1990, to the Swedish company Asea Brown Boveri Ltd. Adept Technology, Inc., a spin-off of Stanford and Unimation to make electrical appliances, Unimation's foreign licensees continue, particularly in Japan. Sweden is at work, and in the 1980s other companies in Japan and Europe began to enter the field aggressively.


The prospect of an aging population and a consequent shortage of workers prompted Japanese manufacturers to experiment with advanced automation even before it yielded a clear return, opening a market for robot makers by increasing their industry. By the late 1980s, Japan was — led by the robotics divisions of Fanuc Ltd and Matsushita. Electric Industrial Company, Ltd, Mitsubishi Group, and Honda Motor Company, Ltd.) manufacture and use industrial robots. Likewise, high labor costs in Europe have encouraged the adoption of robot alternatives, as the installations of industrial robots in the European Union surpassed Japanese installations for the first time in 2001.


Robot games:


The lack of reliable functions has limited the market for industrial and service robots (designed to work in an office and home environments), on the other hand, gaming robots can play without performing tasks very reliably, and mechanical varieties exist for thousands of years in the 1980s microprocessor-controlled toys appeared It can talk or move in response to sounds or light. In 1999, Sony introduced a dog-like robot called AIBO, with twenty motors to activate its legs, head and tail, two microphones, and a color camera all coordinated by a powerful microprocessor, more realistic than anything from before.


Advanced technologies and their use in robotics:


Deft industrial manipulations and artificial vision have their roots in the advanced robotics work conducted in artificial intelligence (AI) laboratories since the late 1960s, yet even more than AI itself, these achievements fall far short of the catalytic vision of machines with broad human capabilities. Object recognition and manipulation, reliable navigation, and planning actions in some narrow and constrained contexts, but failed in more general circumstances. The first robotic vision programs, pursued in the early 1970s, used statistical formulas to detect linear boundaries in robot camera images and intelligent engineering thinking to relate these Lines with possible object boundaries.


Additional geometric formulas relate to object positions the necessary hinge angles needed to allow the robot's arm to hold it, or the steering and command movements to get a moving robot. Limitations By adding an expert system component of visual analysis to make programs more difficult and replacing new complex confusions with simpler failures, in the mid-1980s Rodney Brooks of the MIT lab used artificial intelligence to launch a new, highly visible movement.


A Simple Approach to Detect Robots' Behavior: The Way Back to Basics


It rejected the effort to get machines to make internal models of their surroundings. Instead, Brooks and his followers wrote computer programs that contained simple subprograms that link sensor inputs to motor outputs. Each subprogram encoded behavior such as avoiding a sensed obstacle or heading toward a detected target, resulting in This approach did some very attractive object-like robots, but as their behavior was erratic, their sensors were temporarily misled, and this approach proved unsuitable for larger robots, also this approach did not provide any direct mechanism for determining long and complex sequences of Procedures, the reason for the existence of industrial robot processors and certainly future home robots.


Yet in 2004 iRobot sold more than one million robotic vacuum cleaners capable of diverse behaviors and a first of its kind for a service robot. Sixties Yet even more than artificial intelligence itself, object recognition and processing techniques, reliable navigation, and planning actions succeeded in some narrow and constrained contexts, but failed in more general circumstances.


Pebbles: An Artificial Intelligence-Based Mobile Robot to Explore the Martian Surface


Meanwhile, other researchers continue to pursue various techniques to enable robots to perceive their surroundings and track their own movements, one notable example involving semi-autonomous mobile robots to explore the Martian surface. Short between interventions from the ground, during the late 1990s Pebbles, a tractor-like robot that uses a vision-based control system developed as part of the MIT Mars Rover research project, Pebbles robots negotiate obstacles with the help of a single camera Pebbles, which is the robot's only sensor, with its arm attached, can collect samples or handle dangerous objects.


RoboCup: A Robotics Game for Football Artificial Intelligence


The Football Artificial Intelligence Laboratory is a particularly interesting testing ground for fully autonomous mobile robotics research. In 1993, an international community of researchers organized a long-term program to develop robots capable of playing the sport, with progress tested in the annual Machinery Championships. The first game ( RoboCup) was launched in 1997 in Nagoya, Japan, where teams entered three competing categories, computer simulation, small robots, and medium-sized robots.


Statistical and Computer-Aided Robotic Soccer Statistics


While robotic soccer has helped coordinate and focuses research into some specialized skills, research with broader capabilities is fragmented, using sensors (laser rangefinders, sonar, cameras, and special light sources) with algorithms that model images or spaces using various geometries. Which attempts to deduce what the robot's location is, where, and what other things are nearby. Faster microprocessors developed in the 1990s enabled new technologies to be widely efficient. By statistically measuring large amounts of sensor measurements, computers could individually mitigate confusing readings.


Neural Networks for Robotic Behavior


Another "automatic" learning technique can be used to classify sensor inputs to robots, for example, to translate sensor states directly into desired behavior. Neural networks are the interface with thousands of modifiable force connections, but smaller, more specialized frameworks typically learn faster and better, Some software A program that does the right thing insofar as it can be prearranged also has 'tuning handles' to adjust behavior, another type of learning that remembers a large number of input states and their correct responses and interweaves between them to deal with new inputs, these techniques are already widely used for computer programs that convert speech into text.