Intelligent autonomous robotics a robot soccer case study / Peter Stone.
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Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode |
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APU Library Open Shelf | Book | TJ211.495 .S76 2007 c.1 (Browse shelf (Opens below)) | 1 | Available (No use restrictions) | 00024863 |
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TJ211.415 .B73 2008 c.1 Embedded robotics : | TJ211.415 .S54 2011 c.1 Introduction to autonomous mobile robots / | TJ211.45 .H84 2016 c.1 Robot programming : a guide to controlling autonomous robots / | TJ211.495 .S76 2007 c.1 Intelligent autonomous robotics | TJ211.5 .A77 2003 c.1 Robot building for dummies / | TJ213 .B36 2003 c.1 Control engineering : | TJ213 .B36 2003 c.2 Control engineering : |
Includes bibliographical references (p. 147-153)
Introduction -- The class -- Initial behaviors -- Vision -- Movement -- Fall detection -- Kicking -- Localization -- Communication -- General architecture -- Global map -- Behaviors -- Coordination -- Simulator -- UT assist --Conclusion -- Heuristics for the vision module -- Kicks -- TCP Gateway -- Extension to world state in 2004 -- Simulator message grammar -- Competition results -- References -- Biography.
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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