The Mexican International Conference on Arti?cial Intelligence (MICAI) is a biennial conference established to promote research inarti?cial intelligence (AI), and cooperation among Mexican researchersand their peers worldwide. MICAI is organized by the Mexican Societyfor Arti?cial Intelligence (SMIA), in colla- ration with the AmericanAssociation for Arti?cial Intelligence (AAAI) and the Mexican Society for Computer Science (SMCC). After two successful conferences, we are pleased to present the 3rd Mexican InternationalConferenceonArti?cialIntelligence, MICAI2004, whichtookplace on April 26-30, 2004, in Mexico City, Mexico. This volume contains the papers included in the conferencemain program, which was complemented by tutorials and workshops, published in supplementary proceedings. The proceedings of pastMICAIconferences,2000and2002, werealsopublishedinSpringer-Verlag's Lecture Notes in Arti?cial Intelligence (LNAI) series, volumes 1793 and 2313. The number of submissions to MICAI 2004 was signi?cantly higher than those of previous conferences - 254 papers from 19 di?erent countries were submitted for consideration to MICAI 2004. The evaluation of this unexpectedly largenumberofpaperswasachallenge, bothintermsofthequalityofthepapers and of the review workload of each PC member. After a thorough reviewing process, MICAI's Program Committee and Programs Chairs accepted 97 hi- quality papers. So the acceptance rate was 38.2%. CyberChair, a free Web-based paper submission and reviewing system, was used as an electronic support for the reviewing process. This book contains revised versions of the 94 papers presented at the con- rence. The volume is structured into 13 thematic ?elds according to the topics addressed by the papers, which are representative of the main current area of interest within the AI community.

This book constitutes the proceedings of the 14th Mexican Conference on Pattern Recognition, MCPR 2022, which was held in planned to be held Ciudad Juarez, Mexico, in June 2022. The 33 papers presented in this volume were carefully reviewed and selected from 66 submissions. They are organized in the following topical sections: pattern recognition techniques; neural networks and deep learning; image and signal processing and analysis; natural language processing and recognition; robotics and remote sensing applications of pattern recognition; medical applications of pattern recognition.

Learn how to program robotic vehicles with ardupilot libraries and pixhawk autopilot, both of which are open source technologies with a global scope. This book is focused on quadcopters but the knowledge is easily extendable to three-dimensional vehicles such as drones, submarines, and rovers.Pixhawk and the ardupilot libraries have grown dramatically in popularity due to the fact that the hardware and software offer a real-time task scheduler, huge data processing capabilities, interconnectivity, low power consumption, and a global developer support. This book shows you how take your robotic programming skills to the next level. From hardware to software, Advanced Robotic Vehicles Programming links theory with practice in the development of unmanned vehicles. By the end of this book, you'll learn the pixhawk software and ardupilot libraries to develop your own autonomous vehicles. What You'll Learn Model and implement elementary controls in any unmanned vehicle Select hardware and software components during the design process of an unmanned vehicle Use other compatible hardware and software development packages Understand popular scientific and technical nomenclature in the field Identify relevant complexities and processes for the operation of an unmanned vehicle Who This Book Is For Undergraduate and graduate students, researchers, makers, hobbyists, and those who want to go beyond basic programming of an Arduino for any kind of robotic vehicle.

This book constitutes the refereed proceedings of the 7th Mexican Conference on Pattern Recognition, MCPR 2015, held in Mexico City Mexico, in June 2015. The 30 revised full papers presented were carefully reviewed and selected from 63 submissions. The papers are organized in topical sections on pattern recognition and artificial intelligence; image processing and analysis; robotics and computer vision; natural language processing and recognition; and applications of pattern recognition.