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A tag is a keyword or label that categorizes your question with other, similar questions. Using the right tags makes it easier for others to find and answer your question.

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a robot system used for manufacturing. Industrial robots are automated, programmable and capable of movement on two or more axes
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Robotics simulators represent the world in software. They range in complexity from the simple and only operate in a top-down 2D world, or very complex with photo-realistic rendering and physics model…
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the tendency of a force to rotate an object around an axis, fulcrum, or pivot.
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Any device with electrical circuits.
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a widely used high-level, general-purpose, interpreted, dynamic programming language.
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a closed-loop servomechanism, typically used in radio control model, hobby or small-scale robotics applications. It usually consists of a motor coupled to a sensor (e.g. potent…
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A motor, not necessarily electric, which converts energy into some kind of motion.
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the use of data from moving sensors to estimate change in position over time.
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the extraction of 3D information from digital images, such as obtained by a CCD camera.
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the action or process of moving or of changing place or position
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a combined camera and infrared depth sensor mounted on a motorized pivot and was originally developed for the Microsoft XBox 360.
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A set of machine-readable instructions (most often in the form of a computer program) that directs a computer's processor to perform specific operations.
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a device used to manipulate materials without direct contact.
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Forward kinematics refers to the use of the kinematic equations of a robot to compute the position of the end-effector from specified values for the joint parameters
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Correlate the readings of a robot's instrument, sensor, etc. with those of a standard in order to check its accuracy. Adjust experimental results to take external factors into account or to allow com…
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an outdoor localization system that measures time of flight of a radio signal from a number of satellites in earth orbit.
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the matrix of partial derivatives of a function. For robot arms, the Jacobian relates joint velocities to end-effector velocity. Jacobian Inverse Kinematic method is one method t…
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a process by which data from several different sensors are "fused" to compute something more than could be determined by any one sensor alone.
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the construction of a spatial representation by using the sensory information perceived
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transmitted as a sequence in time. Main advantage: Fewer wires needed. Main disadvantage: Higher bandwidth required for the same throughput.
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a compiled general-purpose programming language that adds object-oriented features and other enhancements to the C language. It is popular for both embedded (including robotics) and PC software…
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the parameters associated with a particular convention for attaching reference frames to the links of spatial kinematic chains, or robot manipulators.
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Lidar (also written LIDAR, LiDAR or LADAR) is a surveying technology that measures distance by illuminating a target with a laser light. Lidar exists as an acronym of Light Detection And Ranging.
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the strategy to find a path towards a goal location being optimal or not
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electronic speed control/controller, used for DC motor speed control, frequently for RC applications.
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A computer environment where robot parameters can be tested without the need for a physical robot.
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Unmanned aerial vehicle. See also the tags ugv & auv.
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a consumer-grade autonomous vacuuming robot sold by [iRobot](
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a simulator makes it possible to rapidly test algorithms, design robots, perform regression testing, and train AI system using realistic scenarios.
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The central problems (or goals) of Artificial Intelligence research include reasoning, knowledge, planning, learning, communication, and perception.
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typically a wheeled robot with light sensor(s) beneath it. The goal of the robot is to follow along a line with a distinct color or intensity, e.g. black on white background.
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means of sending messages, orders, etc., through the transmission media like air, conductor. ...
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a branch of Artificial Intelligence concerned with the development of algorithms that adapt their behavior based on past observations. Examples of such algorithms include Artificia…
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the state or quality of being stable.
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one with tasks that have critical timing requirements. Failure in delivering results within the timing requirement results in catastrophe at worst and uselessness of the results …
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a general Monte Carlo (sampling) method for performing inference in state-space models where the state of a system evolves in time and information about the state is obtained via…