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008			210301s2021 gw | s |||| 0|eng d
020			_a9783030692476
024	7		_a10.1007/978-3-030-69247-6 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _erda _dES-MaUEC
050		4	_aQA9.64 _b2021 EB
100	1		_aDirik, Mahmut _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9677875
245	1	0	_aVision-Based Mobile Robot Control and Path Planning Algorithms in Obstacle Environments Using Type-2 Fuzzy Logic _cby Mahmut Dirik, Oscar Castillo, Fatih Kocamaz.
250			_aFirst edition 2021
264		1	_aCham _bSpringer International Pulishing _c2021
300			_a1 recurso en línea (XVIII, 127 páginas) _b89 ilustraciones, 79 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF _2
490	0		_aStudies in Fuzziness and Soft Computing _x1434-9922 _v407
490	0		_aIntelligent Technologies and Robotics (SpringerNature-42732)
490	0		_aIntelligent Technologies and Robotics (R0) (SpringerNature-43728)
505	0		_aChapter 1: Introduction -- Chapter 2: Literature review -- Chapter 3: Prelimenary definition -- Chapter 4: Materials and methods.
520	3		_a The book includes topics, such as: path planning, avoiding obstacles, following the path, go-to-goal control, localization, and visual-based motion control. The theoretical concepts are illustrated with a developed control architecture with soft computing and artificial intelligence methods. The proposed vision-based motion control strategy involves three stages. The first stage consists of the overhead camera calibration and the configuration of the working environment. The second stage consists of a path planning strategy using several traditional path planning algorithms and proposed planning algorithm. The third stage consists of the path tracking process using previously developed Gauss and Decision Tree control approaches and the proposed Type-1 and Type-2 controllers. Two kinematic structures are utilized to acquire the input values of controllers. These are Triangle Shape-Based Controller Design, which was previously developed and Distance-Based Triangle Structure that is used for the first time in conducted experiments. Four different control algorithms, Type-1 fuzzy logic, Type-2 Fuzzy Logic, Decision Tree Control, and Gaussian Control have been used in overall system design. The developed system includes several modules that simplify characterizing the motion control of the robot and ensure that it maintains a safe distance without colliding with any obstacles on the way to the target. The topics of the book are extremely relevant in many areas of research, as well as in education in courses in computer science, electrical and mechanical engineering and in mathematics at the graduate and undergraduate levels.
988			_aSpringer_Robotics_2021
650		7	_2embne _aInteligencia artificial _9413115
650		7	_2embne _aLógica difusa _9152594
700	1		_aCastillo, Óscar _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _937054
700	1		_aKocamaz, Fatih _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9677876
776	0	8	_iPrinted edition: _z9783030692469
776	0	8	_iPrinted edition: _z9783030692483
776	0	8	_iPrinted edition: _z9783030692490
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-69247-6 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE _n0
998			_b03/2021 _dz _eIG _zSI