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A01=Alma Y. Alanis
A01=Carlos Lopez-Franco
A01=Nancy Arana-Daniel
Age Group_Uncategorized
Age Group_Uncategorized
Author_Alma Y. Alanis
Author_Carlos Lopez-Franco
Author_Nancy Arana-Daniel
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Category1=Non-Fiction
Category=TJFM1
Category=UYQN
COP=United States
Delivery_Delivery within 10-20 working days
Language_English
PA=Available
Price_€100 and above
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Neural Networks for Robotics: An Engineering Perspective

The book offers an insight on artificial neural networks for giving a robot a high level of autonomous tasks, such as navigation, cost mapping, object recognition, intelligent control of ground and aerial robots, and clustering, with real-time implementations. The reader will learn various methodologies that can be used to solve each stage on autonomous navigation for robots, from object recognition, clustering of obstacles, cost mapping of environments, path planning, and vision to low level control. These methodologies include real-life scenarios to implement a wide range of artificial neural network architectures.

  • Includes real-time examples for various robotic platforms.
  • Discusses real-time implementation for land and aerial robots.
  • Presents solutions for problems encountered in autonomous navigation.
  • Explores the mathematical preliminaries needed to understand the proposed methodologies.
  • Integrates computing, communications, control, sensing, planning, and other techniques by means of artificial neural networks for robotics.
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Current price €160.54
Original price €168.99
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A01=Alma Y. AlanisA01=Carlos Lopez-FrancoA01=Nancy Arana-DanielAge Group_UncategorizedAuthor_Alma Y. AlanisAuthor_Carlos Lopez-FrancoAuthor_Nancy Arana-Danielautomatic-updateCategory1=Non-FictionCategory=TJFM1Category=UYQNCOP=United StatesDelivery_Delivery within 10-20 working daysLanguage_EnglishPA=AvailablePrice_€100 and abovePS=Activesoftlaunch
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Product Details
  • Weight: 453g
  • Dimensions: 156 x 234mm
  • Publication Date: 21 Sep 2018
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: United States
  • Language: English
  • ISBN13: 9780815378686

About Alma Y. AlanisCarlos Lopez-FrancoNancy Arana-Daniel

Nancy Arana-Daniel received her B.Sc. Degree from the University of Guadalajara in 2000 and her M. Sc. And Ph.D. degrees in electric engineering with the special field in computer science from Research Center of the National Polytechnic Institute and Advanced Studies CINVESTAV in 2003 and 2007 respectively. She is currently a research fellow at the University of Guadalajara in the Department of Computer Science México where she is working at the Laboratory of Intelligent Systems and the Research Center for Control Systems and Artificial Intelligence. She is IEEE Senior member and a member of National SystemofResearchers (SNI-1). She has published several papers in International Journals and Conferences and she has been technical manager of several projects that have been granted by the National Council of Science and Technology (CONACYT). Also she has collaborated in an international project granted by OPTREAT. She is Associated Editor of the Journal of Franklin Institute (Elsevier). Her research interests focus on applications of Geometric Algebra to Geometric computing machine learning bio-inspired optimization pattern recognition and robot navigation. Carlos Lopez-Franco gained his Ph.D. in Computer Science in 2007 from the Center of Research and Advanced Studies CINVESTAV Unidad Guadalajara Jalisco México. Currently he is a full professor at the University of Guadalajara México Department of Computer Science. He is currently working with the Intelligent Systems group and he is the head of the department of Computer Sciences at CUCEI Universidad de Guadalajara. His current research interests include geometric algebra computer vision robotics and pattern recognition. Alma Y. Alanis received her B.Sc degree from Instituto Tecnologico de Durango (ITD Durango Campus Durango) in 2002 and her M.Sc. and Ph.D. degrees in electrical engineering from the Advanced Studies and Research Center of the National Polytechnic Institute (CINVESTAV-IPN Guadalajara Campus Mexico) in 2004 and 2007 respectively. Since 2008 she has been with the University of Guadalajara where she is currently a Chair Professor in the Department of Computer Science. She is also a member of the Mexican National Research System (SNI-2). She has published papers in recognized International Journals and Conferences along with two international books. She is a Senior Member of the IEEE and Subject and Associated Editor of the Journal of Franklin Institute (Elsevier) and Intelligent Automation & Soft Computing (Taylor & Francis); moreover she is currently serving on a number of IEEE and IFAC Conference Organizing Committees. In 2013 she received the grant for women in science by L'Oreal-UNESCO-AMC-CONACYT-CONALMEX. In 2015 she received the Marcos Moshinsky Research Award. Since 2008 she has been a member of the Accredited Assessors record (RCEA-CONACYT) evaluating a wide range of national research projects. She has belonged to important project evaluation committees for national and international research projects. Her research interests are in neural control backstepping control block control and their applications to electrical machines power systems and robotics.

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