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However, the idea of adding smart sensors to physical objects initially surfaced during the 1980s, a decade before Kevin Ashton. The ideology is simple in the industrial sector as well: making industrial machines smarter than humans at analyzing data in real-time and forming the basis of faster and better logical decisions.

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Information about AI from the News, Publications, and ConferencesAutomatic Classification – Tagging and Summarization – Customizable Filtering and AnalysisIf you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the ...

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Physics are simulated using the MuJoCo physics engine . Videos here of play data collected in this environment give a good idea of the available complexity. In front of the desk is a realistic simulated 8-DOF robot (arm and parallel gripper). The agent perceives its surroundings from egocentric high-dimensional RGB video sensors.

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Nov 16, 2018 · The GA is next tested on a continuous control problem, where a simulated humanoid learns to walk. The software used was MuJoCo (Humanoid-v1 environment in OpendAI Gym). This problem involves mapping a vector of 376 scalars that describe the state of the humanoid (e.g. its position, velocity, angle) to 17 joint torques. Sensors. MuJoCo can simulate a wide variety of sensors as described in the sensor element below. User sensor types can also be defined, and are evaluated by the callback mjcb_sensor. Sensors do not affect the simulation. Instead their outputs are copied in the array mjData.sensordata and are available for user processing.

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