Latest batch of documents leaked shows NSA's power to pwn.

Vision-Doctor.co.uk - Basics, knowledge, know-how, online tools and solutions for industrial machine vision applications - Lars Fermum

Natale 2013. I migliori spot e le pubblicità più belle del periodo natalizio. Una selezione di aziende che hanno reso virali i propri video di Natale.

Free online storage HiDrive is the perfect solution for saving all your data online. This free online backup is available wherever you are. Activate now!

Do you find yourself in any of these situations? :)

It is common to argue that intellectual property in the form of copyright and patent is necessary for the innovation and creation of ideas and inventions such as machines, drugs, computer software, books, music, literature and movies. In fact intellectual property is a government grant of a costly and dangerous private monopoly over ideas. We show through theory and example that intellectual monopoly is not necessary for innovation and as a practical matter is damaging to growth, prosperity and liberty.

Euro, mercati, democrazia 2013 - Come uscire dall'euro 26-27 Ottobre 2013, Montesilvano (PE) Diego Fusaro (Università S.Raffaele di Milano) "Sovranità ed e...

Dipartimento di Ingegneria Industriale e dell'Informazione.

ENG: Department of Electrical, Computer and Biomedical Engineering.

Well, theoretically in 5 minutes. The official python server is there. The instructions on this page are for setting up a small 3rd party weave ( …

A collection of functions for shaping and tweening signals in the range 0 to 1.

JUnit This tutorial explains unit testing with JUnit 4.x. It explains the creation of JUnit tests and how to run them in Eclipse or via own code.

For the commemoration of 100th year Titanic tragedy. My heart will go on (Celine Dion) theme from Titanic movie http://www.cdbaby.com/artist/igorpresnyakov A...

The tangent bug algorithm is actually the imroved version of Bug1 and Bug2 algorithms. Unlike these methods, tangent bug algorithm depends on the existence of a range sensor that is mounted on the point robot in the map. By only investigating the output ot this range sensor, and including the knowledge of the robot's current pose and goal's pose, the robot plans actions to reach to the goal.

This web page consists of information about the tangent bug algorithm and its implementation.

This course is a seminar-style hands-on survey of approaches to control and learning in single and multi-robot systems. We will read original seminal papers that track the development of the field and overview the different state-of-the-art approaches to mobile robot control, including reactive, hybrid, and behavior-based based systems. The discussion will focus on the issues of resolving the fundamental conflict between thinking and acting, i.e., high-level deliberation and real-time control. Different approaches and robot control architectures for addressing this issue will be covered and discussed. In the second part of the course we will discuss scaling up robot control to multi-robot systems and swarms of robots. The control architectures discussed in the first part of the semester will be revisited in the context of scaling up to distributed systems. Finally, we will address adaptation and learning in single and multi-robot systems, and deal with the many challenges those problems present. Several other relevant topics will be covered at least briefly, including biological inspirations for robot control and philosophical foundations. All topics will be illustrated with implemented systems and demonstrated with videos.

Course Description

Recent years have seen a great increase in the volume of research conducted into multi-robot systems. This course covers the state-of-the-art in control and synthesis techniques for multi-robot systems. Starting initially from motivations and definitions, students will study several important coordination methods and the ideas that have inspired them. The course balances study of fielded systems and applications with analysis of algorithms and formalisms. Students will use physical robots to design, implement and demonstrate multi-robot controllers.