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    Article Vocabulary. By Robohub Thursday, April 16, When you think of a robot , what do you see?

    A machine that looks a bit like you and me? The reality is that robots can come in many different shapes and sizes.

    What a robot looks like depends on its purpose. Flying robots might look like helicopters, or have wings like insects or birds.

    Cleaning robots often look like little vacuums. Robots that are meant to interact with people often have a face, eyes, or a mouth—just like we do!

    Whether they look like us or not, most robots have three essential ingredients that make them a robot: sensors, actuators, and programs.

    Together, these ingredients are what make a robot different from other electronics and gadget s you might have around your house, like your computer , your washing machine, or your toaster.

    First, a robot has sensor s that allow it to perceive the world. The kinds of sensors that a robot needs depends on what the robot was made for.

    A robot vacuum cleaner might use a bumper with pressure sensors to understand where a wall is.

    A flying robot uses a group of sensors called an inertial measurement unit IMU to help it stay balanced when it flies. Some of the sensors used by robots are very different from the kinds of sensors used by people.

    Second, a robot has actuators that allow it to move around. We might use our legs and feet to walk and run, and we might use our hands to pick up an orange and peel it.

    A robot might use actuators such as motors and wheels to drive places, and finger-like grippers to grab objects and manipulate them or turn them around.

    Third, a robot needs a program that lets it act on its own based on what it is sensing. Can you think of anything that has autonomy?

    People have autonomy, because they can decide for themselves how to behave or move—at least most of the time! But what if we want to build a robot that can autonomously dance to a beat?

    What three basic things would we need? We would need a microphone sound sensor so that the robot could hear the music.

    We would need some actuators like motors with wheels so that the robot could move. The first robotics vision programs, pursued into the early s, used statistical formulas to detect linear boundaries in robot camera images and clever geometric reasoning to link these lines into boundaries of probable objects, providing an internal model of their world.

    Further geometric formulas related object positions to the necessary joint angles needed to allow a robot arm to grasp them, or the steering and drive motions to get a mobile robot around or to the object.

    This approach was tedious to program and frequently failed when unplanned image complexities misled the first steps.

    An attempt in the late s to overcome these limitations by adding an expert system component for visual analysis mainly made the programs more unwieldy—substituting complex new confusions for simpler failures.

    In the mids Rodney Brooks of the MIT AI lab used this impasse to launch a highly visible new movement that rejected the effort to have machines create internal models of their surroundings.

    Instead, Brooks and his followers wrote computer programs with simple subprograms that connected sensor inputs to motor outputs, each subprogram encoding a behaviour such as avoiding a sensed obstacle or heading toward a detected goal.

    There is evidence that many insects function largely this way, as do parts of larger nervous systems. The approach resulted in some very engaging insectlike robots, but—as with real insects—their behaviour was erratic, as their sensors were momentarily misled, and the approach proved unsuitable for larger robots.

    Meanwhile, other researchers continue to pursue various techniques to enable robots to perceive their surroundings and track their own movements.

    One prominent example involves semiautonomous mobile robots for exploration of the Martian surface. A particularly interesting testing ground for fully autonomous mobile robot research is football soccer.

    In an international community of researchers organized a long-term program to develop robots capable of playing this sport, with progress tested in annual machine tournaments.

    The first RoboCup games were held in in Nagoya, Japan , with teams entered in three competition categories: computer simulation , small robots, and midsize robots.

    Merely finding and pushing the ball was a major accomplishment, but the event encouraged participants to share research, and play improved dramatically in subsequent years.

    In Sony began providing researchers with programmable AIBOs for a new competition category; this gave teams a standard reliable prebuilt hardware platform for software experimentation.

    While robot football has helped to coordinate and focus research in some specialized skills, research involving broader abilities is fragmented.

    Faster microprocessors developed in the s have enabled new, broadly effective techniques. For example, by statistically weighing large quantities of sensor measurements, computers can mitigate individually confusing readings caused by reflections, blockages, bad illumination, or other complications.

    What What In The Robot

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    Unsourced material may be challenged and removed. July Learn how and when to remove this template message. See also: Robotics research.

    Further information: Biomimetics. Further information: Bionics. Further information: Nanorobotics. Further information: Laboratory robotics.

    Main article: Swarm robotics. Further information: Haptic technology. Further information: Robotic art. See also: List of fictional robots and androids and Droid Star Wars.

    Main article: Robots in literature. See also: Category:Robot films. Main article: Sex robot. Archived from the original on Retrieved Oxford English Dictionary.

    Retrieved November 27, Oxford Dictionaries. Archived from the original on 18 May Retrieved 4 February Robotics and Automation Handbook.

    Archived from the original on 4 December Retrieved 5 July — via Google Books. Retrieved February 7, The device was used to lift and stack die-cast metal parts taken hot from their molds.

    ABC News. Australian Broadcasting Corporation. Archived from the original on 29 May Retrieved 29 May Alliance for Telecommunications Solutions.

    Robonexus Exhibition How Stuff Works. Cambridge University Press. Archived from the original on 18 July Oxford University Press.

    Rosheim The MacTutor History of Mathematics archive. October Music Educators Journal. A Walk Through Time. New Scientist : 32— July 6, History of Indian Theatre, Volume 1.

    Encyclopedia Britannica. Robot Evolution: The Development of Anthrobotics. December Beginning in the s, investigators at the University of California began to ponder the significance of some of da Vinci's markings on what appeared to be technical drawings It is now known that da Vinci's robot would have had the outer appearance of a Germanic knight.

    Nineteenth-Century Torpedoes and Their Inventors. Naval Institute Press. Indianapolis Monthly. Daily Kos. Robot — Not Forgetting His Master".

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    John Wiley and Sons. PP Dansk Robot Forening. European Robotics Research Network. Gainesville Sun. Archived from the original on September 22, Retrieved March 7, April Moubarak, et al.

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    BBC News, August 3, Flatley engadget. Can virtual ethics make machines decisionmakers? Fox News Channel. Porter, Eduardo; Manjoo, Farhad 9 March Two Views of the Changing Work Force".

    Archived from the original on 15 February Retrieved 23 February Thompson, Derek July—August The Atlantic. Xinhua News Agency.

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    Ministry of Defence. BBC News. Retrieved July 26, Retrieved July 27, Proceedings: Session Archived from the original on 5 August Retrieved 14 August The early version of the Handy 1 system consisted of a Cyber robotic arm with five degrees of freedom plus a gripper.

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    Technological unemployment Terrainability Fictional robots. Category Outline. Download the activity kit guide for instructions on how to compile materials to facilitate some or all of the activities featured here.

    Join our community of educators and receive the latest information on National Geographic's resources for you and your students.

    Skip to content. Article Vocabulary. By Robohub Thursday, April 16, When you think of a robot , what do you see? A machine that looks a bit like you and me?

    The reality is that robots can come in many different shapes and sizes. What a robot looks like depends on its purpose. Flying robots might look like helicopters, or have wings like insects or birds.

    Cleaning robots often look like little vacuums. Robots that are meant to interact with people often have a face, eyes, or a mouth—just like we do!

    Whether they look like us or not, most robots have three essential ingredients that make them a robot: sensors, actuators, and programs. Together, these ingredients are what make a robot different from other electronics and gadget s you might have around your house, like your computer , your washing machine, or your toaster.

    First, a robot has sensor s that allow it to perceive the world. The kinds of sensors that a robot needs depends on what the robot was made for.

    A robot vacuum cleaner might use a bumper with pressure sensors to understand where a wall is.

    A flying robot uses a group of sensors called an inertial measurement unit IMU to help it stay balanced when it flies.

    Some of the sensors used by robots are very different from the kinds of sensors used by people. Second, a robot has actuators that allow it to move around.

    We might use our legs and feet to walk and run, and we might use our hands to pick up an orange and peel it. A robot might use actuators such as motors and wheels to drive places, and finger-like grippers to grab objects and manipulate them or turn them around.

    Third, a robot needs a program that lets it act on its own based on what it is sensing. Meanwhile, other researchers continue to pursue various techniques to enable robots to perceive their surroundings and track their own movements.

    One prominent example involves semiautonomous mobile robots for exploration of the Martian surface. A particularly interesting testing ground for fully autonomous mobile robot research is football soccer.

    In an international community of researchers organized a long-term program to develop robots capable of playing this sport, with progress tested in annual machine tournaments.

    The first RoboCup games were held in in Nagoya, Japan , with teams entered in three competition categories: computer simulation , small robots, and midsize robots.

    Merely finding and pushing the ball was a major accomplishment, but the event encouraged participants to share research, and play improved dramatically in subsequent years.

    In Sony began providing researchers with programmable AIBOs for a new competition category; this gave teams a standard reliable prebuilt hardware platform for software experimentation.

    While robot football has helped to coordinate and focus research in some specialized skills, research involving broader abilities is fragmented.

    Faster microprocessors developed in the s have enabled new, broadly effective techniques. For example, by statistically weighing large quantities of sensor measurements, computers can mitigate individually confusing readings caused by reflections, blockages, bad illumination, or other complications.

    Connectionist neural networks containing thousands of adjustable-strength connections are the most famous learners, but smaller, more-specialized frameworks usually learn faster and better.

    Another kind of learning remembers a large number of input instances and their correct responses and interpolates between them to deal with new inputs.

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