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Self-Organizing Feature Maps ( #SOFM )
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ARToolKit is a software library for building Augmented Reality (AR) applications. These are applications that involve the overlay of virtual imagery on the real world. For example, in the image to the right a three-dimensional virtual character appears standing on a real card. It can be seen by the user in the head set display they are wearing. When the user moves the card, the virtual character moves with it and appears attached to the real object. #augmentedreality
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Mohandes Zalatan's profile photoeric cochin's profile photo
 
Hum, interesting but do you notice, last news: 2007-11-28 19:01 !!!!
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Uncertainty presents significant challenges in the reasoning about and controlling of complex dynamical systems. To address this challenge, numerous researchers are developing improved methods for stochastic analysis. This book presents a diverse collection of some of the latest research in this important area. In particular, this book gives an overview of some of the theoretical methods and tools for #stochastic analysis, and it presents the applications of these methods to problems in systems theory, science, and economics.
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A source to learn more about application of #LMI in Control:
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A nice tutorial for #fuzzy C-means #clustering :
Fuzzy c-means (FCM) is a method of clustering which allows one piece of data to belong to two or more clusters...
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Kirti Chawla's profile photoJavier Barragán's profile photo
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Have them in circles
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Robotics

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This is a site for those who simply love to learn!
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Ogama allows recording and analyzing eye- and mouse-tracking data from slideshow #eyetracking  experiments in parallel. It´s developed in C#.NET and provides attention maps, AOIS, saliency, replay, levensthein distances and many more visualization tools.
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Mladen Mihajlovic's profile photoHaroon Rasheed's profile photo
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Learn electronics online with PyroEDU by @pyroelectro http://j.mp/1b3HvfU
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Probabilistic robotics is a new and growing area in robotics, concerned with perception and control in the face of uncertainty. Building on the field of mathematical statistics, probabilistic robotics endows robots with a new level of robustness in real-world situations.
This book introduces the reader to a wealth of techniques and algorithms in the field. All algorithms are based on a single overarching mathematical foundation. Each chapter provides example implementations in pseudo code, detailed mathematical derivations, discussions from a practitioner's perspective, and extensive lists of exercises and class projects. The book's Web site, http://www.probabilistic-robotics.org, has additional material.
The book is relevant for anyone involved in robotic software development and scientific research. It will also be of interest to applied statisticians and engineers dealing with real-world sensor data.  #probabilistic #robotics  
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Ryan Lanham's profile photoCarla Theissen's profile photoRobotics's profile photo
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+Carla Theissen This is a non academic page and information here shared with everyone.
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Have them in circles
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Robotics, SSL, WiFiBot
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A page to share information about robotics and mechatronics