Machine Learning Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI. In this class, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself. More importantly, you'll learn about not only the theoretical underpinnings of learning, but also gain the practical know-how needed to quickly and powerfully apply these techniques to new problems. This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition.
Robot Navigation Edited by Alejandra Barrera, ISBN 978-953-307-346-0, 250 pages, Publisher: InTech, Chapters published July 05, 2011 under CC BY-NC-SA 3.0 licenseDOI: 10.5772/705 Robot navigation includes different interrelated activities such as perception - obtaining and interpreting sensory information; exploration - the strategy that guides the robot to select the next direction to go; mapping - the construction of a spatial representation by using the sensory information perceived; localization - the strategy to estimate the robot position within the spatial map; path planning - the strategy to find a path towards a goal location being optimal or not; and path execution, where motor actions are determined and adapted to environmental changes. This book integrates results from the research work of authors all over the world, addressing the abovementioned activities and analyzing the critical implications of dealing with dynamic environments.
BMW Forecasts Cars Will Be Highly Automated by 2020, Driverless by 2025. The latest in a slew of press from major automakers, BMW and automotive supplier Continental recently announced a partnership to develop new technology for self-driving cars. The collaboration aims to develop an “electronic co-pilot” system for highway grade driverless cars over the next year. And the announcement came with a bold forecast: partially automated cars by 2016, highly automated cars by 2020, and fully automated cars by 2025. During their year-long partnership, BMW and Continental will build and test several prototypes using near-production technology—stereo cameras, radar, and laser sensors. Researchers will then run the prototypes through many of the tests modern freeways have to offer, navigating the likes of toll plazas, construction, and interchanges. They’ll use the trials to further hone their algorithms, and prepare the system for real world use. This isn’t BMW’s first foray into automation by any means. And maybe that’s as it should be.
lesen.to Hier klicken für den garantierten Download von "Yára Detert – Mathematik für Ahnungslose" (kostenlose Anmeldung erforderlich ->hier<-) Lösen von Gleichungen höherer Ordnung – Eulersche Formel – Multiplikation von Matrizen. Wie war denn das noch? Eben noch beim Bund oder im Zivildienst – jetzt im Hörsaal. Studierende technischer oder naturwissenschaftlicher Fächer sehen sich oft mit erheblichen Problemen konfrontiert, wenn sie feststellen, dass für den von Ihnen gewählten Studiengang Mathematik belegt und eine Mathematikprüfung abgelegt werden muss. Format: pdf | Größe: 15,3 MBFirstload.de: DownloadUploaded.to: DownloadShare-Online.biz: DownloadTurbobit.net: Download Passwort: lesen.to | Uploader: acore
Game Theory About the Course Popularized by movies such as "A Beautiful Mind", game theory is the mathematical modeling of strategic interaction among rational (and irrational) agents. Beyond what we call 'games' in common language, such as chess, poker, soccer, etc., it includes the modeling of conflict among nations, political campaigns, competition among firms, and trading behavior in markets such as the NYSE. How could you begin to model eBay, Google keyword auctions, and peer to peer file-sharing networks, without accounting for the incentives of the people using them? The course will provide the basics: representing games and strategies, the extensive form (which computer scientists call game trees), Bayesian games (modeling things like auctions), repeated and stochastic games, and more. Course Syllabus Week 1. Week 2. Week 3. Week 4. Week 5. Week 6. Week 7. Recommended Background You must be comfortable with mathematical thinking and rigorous arguments.
Introduction to Robotics - Fall 2011 | Correll Lab This class will teach the basics of how robots can move (locomotion and kinematics), how they can sense (perception), and how they can reason about their environment (planning). Lecture materials are supported by computer exercises using the simulation software “Webots” (right). Exercises will cover programming of basic sensors, actuators and perception algorithms and are geared to prepare the students to participate in the online competition “RatsLife” ( within the framework of the class. In RatsLife, two miniature robots “E-Puck” are competing against each other in a virtual maze for available chargers. Prerequisites: programming experience in C/C++ and/or Java. The “Introduction class” is offered as CSCI 3302 and ECEE 3303 in Fall 2011. Please visit me during office hours on Tuesday between 10-11am in ECOT 733 or by appointment. 20% Homework25% Project / Debates / Class participation25% Midterm30% Final Debates will be evaluated in equal parts to the
Technology - Robot racing car aims for pole position Meet the 120mph sports car that thunders around tracks without any help from a driver. Self-driving cars have the headlines recently for everything from navigating busy streets to their ability to park themselves. But researchers at Stanford University in California are moving faster, with a self-driving racing car, capable of speeds up to 120mph (190km/h). The car recently powered around the Thunderhill Raceway in California, clocking a time only a few seconds slower than a human. Professor Chris Gerdes, the main researcher behind the project, recently joined me on stage at the Atlantic Big Science Summit in Silicon Valley. Jon Stewart: Is this car completely autonomous - there’s no remote control or human interference? Chris Gerdes: That’s absolutely correct. JS: Tell us about some of the technology it uses to do that. CG: We’ve tried to model this on what we’ve learned from some of the best racecar drivers. JS: How does it compare to a human driver?
Type Fu - touch typing trainer, tutor and test Advanced Robotics Spring 2013 | Correll Lab This class is the follow-up class to CSCI3302 “Introduction to Robotics”. Robots perceive their environment with signal processing and computer vision techniques, reason about them using machine learning, artificial intelligence and discrete algorithms, and execute their actions based on constraints imposed by sensor uncertainty, their mechanism, and their dynamics. “Advanced Robotics” will teach the key concepts used by manipulating robots and provide hands-on experience with state-of-the-art software and systems. Lecture materials are supported by exercises around the “Robot Operating System” ROS and will lead to the completion of a group project. After “The Distributed Robotic Garden” at MIT, and “Robots building Robots” from 2010 to 2012, the 2013 grand challenge is to develop an autonomouse greenhouse. Exercises will be conducted in a virtual environment and can later be transferred to a 7-DOF manipulating arm. Due dates: This class has three two week homework assignments. 1. 2.
Autonomous Plane Lands on Aircraft Carrier Aircraft that fly autonomously, without a pilot on board or even on the ground are taking to the air. Now the U.S. Navy is pushing a robotic airplane to do something many human pilots never master: land on an aircraft carrier. The plane is the X-47B, and it's the first aircraft that flies completely on its own. PHOTOS: Five Scariest Bioweapons Unlike the more familiar Predator drones, the X-47B doesn't need a pilot in a control room. The plane didn't go as fast as many unmanned aircraft currently in use –- it hit a speed of 180 knots, or about 200 miles an hour, whereas some drones hit speeds twice that. It's the first flight by the U.S. BLOG: Pentagon Tests Hypersonic Flying Bomb Sometime next year the Navy hopes to test it aboard a real carrier, though it will have to prove itself at Pax River first. The X-47B, built by Northrop Grumman, made its debut last year at Edwards Air Force Base, where it made a 29-minute flight at an altitude of 5,000 feet. via: United States Navy
Robotics, Vision & Control The practice of robotics and computer vision each involve the application of computational algorithms to data. The research community has developed a very large body of algorithms but for a newcomer to the field this can be quite daunting. For more than 10 years the author has maintained two open-source MATLAB® Toolboxes, one for robotics and one for vision. They provide implementations of many important algorithms and allow users to work with real problems, not just trivial examples. This new book makes the fundamental algorithms of robotics, vision and control accessible to all. It weaves together theory, algorithms and examples in a narrative that covers robotics and computer vision separately and together. "An authoritative book, reaching across fields, thoughtfully conceived, and brilliantly accomplished!"
Our First Experience with Robotics: Making a Web-Controlled Robotic Arm As part of Programmers’ Day celebration this year, Azoft web developers decided to surprise our fellow Azoft employees with a competition. To try something new and unusual, we created an internet-controlled robotic arm. This was our first experience with robotics and it turned out a success. The robotic arm competition was lots of fun for everyone involved, so we decided to share our experience and post this robotics tutorial to give you a fast start into building robots for your own geek parties. What does the robotic arm do? Our robotic arm is controlled via a web interface: it responds to remote commands and performs simple tasks. The tasks could vary: from drawing lots in a lottery to grabbing objects and collecting them in a basket - it’s up to your imagination. Have you decided what your robot will be doing? You will need microcontroller TI Stellaris Launchpad two servos (one for rotates, one for lifts) Hitec HS-322 servo TowerPro SG90 for the hand Let's get started 0. Stage 0. 1.