000			03906nam a2200649 i 4500
001			6813276
003			IEEE
005			20200413152849.0
006			m||||eo||d||||||||
007			cr an |||m|||a
008			081101s2007 caua fob 000 0 eng d
020			_a9781598291278 (electronic bk.)
020			_a1598291270 (electronic bk.)
020			_a9781598291261 (pbk.)
020			_a1598291262 (pbk.)
024	7		_a10.2200/S00090ED1V01Y200705AIM001 _2doi
035			_a(OCoLC)156719348
035			_a(CaBNVSL)gtp00531510
040			_aCaBNVSL _cCaBNVSL _dCaBNVSL
050		4	_aTJ211.495 _b.S765 2007
082	0	4	_a629.8/92 _222
090			_a _bMoCl _e200705AIM001
100	1		_aStone, Peter, _d1971-
245	1	0	_aIntelligent autonomous robotics _h[electronic resource] : _ba robot soccer case study / _cPeter Stone.
250			_a1st ed.
260			_aSan Rafael, Calif (1537 Fourth Street, San Rafael, CA 94901 USA) : _bMorgan & Claypool Publishers, _c2007.
300			_a1 electronic text (x, 155 p. : ill.) : _bdigital file.
490	1		_aSynthesis lectures on artificial intelligence and machine learning, _x1939-4616 ; _v#1
538			_aMode of access: World Wide Web.
538			_aSystem requirements: Adobe Acrobat Reader.
500			_aPart of: Synthesis digital library of engineering and computer science.
500			_aSeries from website.
504			_aIncludes bibliographical references (p. 147-153).
505	0		_aIntroduction -- 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.
506	1		_aAbstract freely available; full-text restricted to subscribers or individual document purchasers.
510	0		_aCompendex
510	0		_aINSPEC
510	0		_aGoogle scholar
510	0		_aGoogle book search
520			_aRobotics 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.
530			_aAlso available in print.
588			_aTitle from PDF t.p. (viewed on Nov. 1, 2008).
650		0	_aAutonomous robots.
650		0	_aRobotics in sports.
650		0	_aSoccer.
650		0	_aRobotics _xStudy and teaching (Higher)
690			_aAutonomous robots.
690			_aLegged robots.
690			_aMulti-robot systems.
690			_aEducational robots.
690			_aRobot soccer.
690			_aRoboCup.
730	0		_aSynthesis digital library of engineering and computer science.
830		0	_aSynthesis lectures on artificial intelligence and machine learning ; _v#1.
856	4	2	_3Abstract with links to resource _uhttp://ieeexplore.ieee.org/servlet/opac?bknumber=6813276
856	4	0	_3Abstract with links to full text _uhttp://dx.doi.org/10.2200/S00090ED1V01Y200705AIM001
999			_c561589 _d561589