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|a 9783031015441
|9 978-3-031-01544-1
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|a 10.1007/978-3-031-01544-1
|2 doi
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|a Q334-342
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|a TA347.A78
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|a 006.3
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|a Stone, Peter.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a Intelligent Autonomous Robotics
|h [electronic resource] :
|b A Robot Soccer Case Study /
|c by Peter Stone.
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|a 1st ed. 2007.
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2007.
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|a X, 153 p.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
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|a online resource
|b cr
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|a text file
|b PDF
|2 rda
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|a Synthesis Lectures on Artificial Intelligence and Machine Learning,
|x 1939-4616
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|a Introduction -- The Class -- Initial Behaviors -- Vision -- Movement -- Fall Detection -- Kicking -- Localization -- Communication -- General Architecture -- Global Map -- Behaviors -- Coordination -- Simulator -- UT Assist -- Conclusion.
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|a Robotics technology has recently advanced to the point of being widely accessible for relatively low-budget research, as well as for graduate, undergraduate, and even secondary and primary school education. This lecture provides an example of how to productively use a cutting-edge advanced robotics platform for education and research by providing a detailed case study with the Sony AIBO robot, a vision-based legged robot. The case study used for this lecture is the UT Austin Villa RoboCup Four-Legged Team. This lecture describes both the development process and the technical details of its end result. The main contributions of this lecture are (i) a roadmap for new classes and research groups interested in intelligent autonomous robotics who are starting from scratch with a new robot, and (ii) documentation of the algorithms behind our own approach on the AIBOs with the goal of making them accessible for use on other vision-based and/or legged robot platforms.
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|a Artificial intelligence.
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|a Machine learning.
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|a Neural networks (Computer science) .
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|a Artificial Intelligence.
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|a Machine Learning.
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|a Mathematical Models of Cognitive Processes and Neural Networks.
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|a SpringerLink (Online service)
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|t Springer Nature eBook
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|i Printed edition:
|z 9783031004162
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|i Printed edition:
|z 9783031026720
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|a Synthesis Lectures on Artificial Intelligence and Machine Learning,
|x 1939-4616
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|u https://doi.uam.elogim.com/10.1007/978-3-031-01544-1
|z Texto Completo
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|a ZDB-2-SXSC
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|a Synthesis Collection of Technology (R0) (SpringerNature-85007)
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