
Neural Networks for Robotics
Description
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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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Persons
Carlos Lopez-Franco gained his Ph.D. in Computer Science in 2007 from the Center of Research and Advanced Studies, CINVESTAV Unidad Guadalajara, Jalisco, Mexico. Currently, he is a full professor at the University of Guadalajara, Mexico, 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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