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Mobile Robot Localization and Navigation in Artificial Intelligence
Mobile Robot Localization and Navigation in Artificial Intelligence

... Mobile robotics is a motivating area for use of artificial intelligence (AI), as it is a domain in which huge bodies of knowledge are needed to enable tasks like intelligent navigation in a large or complex facility while there at the same time is a need for real-time response to external events[32] ...
The 2004 Mobile Robot Competition and Exhibition
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... encourage and showcase research in robot-human interaction and operations in typical human environments. The goal of the Robot Challenge is to design a robot system that can fully participate in the AAAI conference by registering, navigating around the conference hall using natural landmarks and hum ...
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... Sensory neurons or Bipolar neurons carry messages from the body's sense receptors (eyes, ears, etc.) to the CNS. These neurons have two processes. Sensory neuron account for 0.9% of all neurons. (Examples are retinal cells, olfactory epithelium cells.) Motoneurons or Multipolar neurons carry signals ...
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... some intuitive features of information: a binary string obtained by truly random process cannot be compressed and carries the amount of information equal to the number of its digits. An apparently random string may, however, be easily computable from some short algorithm, for square root or the valu ...
Decision-Theoretic Planning for Intelligent User Interfaces
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The Cerebellum - Amanda Parsons
The Cerebellum - Amanda Parsons

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... package. Moreover, they are not included into the Pogamut 3 release version at the time of writing of this paper, but they may be available for download in coming months. In this section, we will review these extensions in further detail: ACT-R Integration, Gestures module, ALMA Integration, and Edu ...
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CS 524 – High Performance Computing

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Embodied cognitive science

For approaches to cognitive science that emphasize the embodied mind, see Embodied cognitionEmbodied Cognitive Science is an interdisciplinary field of research, the aim of which is to explain the mechanisms underlying intelligent behavior. It comprises three main methodologies: 1) the modeling of psychological and biological systems in a holistic manner that considers the mind and body as a single entity, 2) the formation of a common set of general principles of intelligent behavior, and 3) the experimental use of robotic agents in controlled environments.Embodied cognitive science borrows heavily from embodied philosophy and the related research fields of cognitive science, psychology, neuroscience and artificial intelligence. From the perspective of neuroscience, research in this field was led by Gerald Edelman of the Neurosciences Institute at La Jolla, the late Francisco Varela of CNRS in France, and J. A. Scott Kelso of Florida Atlantic University. From the perspective of psychology, research by Michael Turvey, Lawrence Barsalou and Eleanor Rosch. From the perspective of language acquisition, Eric Lenneberg and Philip Rubin at Haskins Laboratories. From the perspective of autonomous agent design, early work is sometimes attributed to Rodney Brooks or Valentino Braitenberg. From the perspective of artificial intelligence, see Understanding Intelligence by Rolf Pfeifer and Christian Scheier or How the body shapes the way we think, also by Rolf Pfeifer and Josh C. Bongard. From the perspective of philosophy see Andy Clark, Shaun Gallagher, and Evan Thompson.Turing proposed that a machine may need a human-like body to think and speak:It can also be maintained that it is best to provide the machine with the best sense organs that money can buy, and then teach it to understand and speak English. That process could follow the normal teaching of a child. Things would be pointed out and named, etc. Again, I do not know what the right answer is, but I think both approaches should be tried (Turing, 1950).↑
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