Robot

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Aperture Robot Repair Vive VR Demo (The Lab, Steam).

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Hardware Modem Microprocessor Memory Peripheral Robot, XR
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General

Dictionary

robot : a mechanism guided by automatic controls — Webster

FOLDOC: Free Online Dictionary of Computing, OneLook, Free Dictionary, Wiktionary

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Roget’s II (Thesaurus.com), Merriam-Webster Thesaurus, Visuwords

Glossary

Learn About Robot: Glossary

Encyclopedia

Robot is a mechanical intelligent agent which can perform tasks on its own, or with guidance. In practice a robot is usually an electro-mechanical machine which is guided by computer and electronic programming. Robots can be autonomous or semi-autonomous and come in those two basic types: those which are used for research into human-like systems, such as ASIMO and TOPIO, as well as those into more defined and specific roles, such as Nano robots and Swarm robots; and helper robots which are used to make or move things or perform menial or dangerous tasks, such as Industrial robots or mobile or servicing robots. Another common characteristic is that, by its appearance or movements, a robot often conveys a sense that it has intent or agency of its own. — Wikipedia

Encyclopædia Britannica

Outline

Outline of Robotics (Wikipedia)

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WolframAlpha

Preservation

History

Robot Gallery (Boston.com)
Celebrity robots (Alli Knothe, Boston.com)
History of robots (Wikipedia)

Museum

Robots Exhibit (Science Museum, UK)

Robots and Beyond: Exploring Artificial Intelligence at MIT (MIT Museum)

Library

WorldCat, Library of Congress, UPenn Online Books, Open Library

Participation

Education

Course

OER Commons: Open Educational Resources

Community

Forum

Reddit

News

Science Daily, MIT Robotics,, NPR Archives

Book

ISBNdb

Government

US Robotics Research Programs (DARPA)
Engineering Humans for War (Annie Jacobsen, The Atlantic)

Document

USA.gov

Expression

Origin and Develoopment of Robotic Art (Eduardo Kac)
Robotic Art (Wikipedia)

Poem

OEDILF: The Omnificent English Dictionary In Limerick Form

Music

Song Lyrics

Future

The future of robotics: 10 predictions for 2017 and beyond (Bob Violino, ZDNet)
Rise of the Machines: The Future has Lots of Robots, Few Jobs for Humans (Wired)

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Robotics Research News -- ScienceDaily Robots and Artificial Intelligence. From babybots to surprisingly accomplished robots, read all the latest news and research in robotics here.

  • Teaching robots to think like us
    on October 26, 2021 at 4:42 pm

    Researchers outline how a robot could be taught to navigate through a maze by electrically stimulating a culture of brain nerve cells connected to the machine. These nerve cells were grown from living cells and acted as the physical reservoir for the computer to construct coherent signals. These findings suggest goal-directed behavior can be generated without any additional learning by sending disturbance signals to an embodied system.

  • Machine learning can be fair and accurate
    on October 20, 2021 at 6:00 pm

    Researchers are challenging a long-held assumption that there is a trade-off between accuracy and fairness when using machine learning to make public policy decisions.

  • Four-legged swarm robots
    on October 18, 2021 at 5:03 pm

    Engineers have built multi-legged robots capable of maneuvering in challenging environments and accomplishing difficult tasks collectively, mimicking their natural-world counterparts.

  • AI predicts extensive material properties to...
    on October 15, 2021 at 10:42 pm

    Researchers have developed a machine learning model to predict never-before-determined material properties from energy loss near-edge structure (ELNES) and X-ray near-edge structure (XANES) spectra. The spectra of 22,155 organic molecules were input into the neural network model and allowed the first correct prediction of both intensive and extensive material properties. It is hoped that the model will allow high-throughput screening to develop materials across numerous applications.

  • Attention-based deep neural network increases...
    on October 12, 2021 at 7:48 pm

    In underwater acoustics, deep learning may improve sonar systems to help detect ships and submarines in distress or in restricted waters. However, noise interference can be a challenge. Researchers now explore an attention-based deep neural network to tackle this problem. They tested two ships, comparing their results with a typical deep neural network, and found the ABNN increases its predictions considerably as it gravitates toward the features closely correlated with the training goals.