I just got a Raspberry Pi 2 in my hands and hope with its help to add some cool features to my new robot projects, beyond the capabilities of the trusted Arduino. The specific goal, besides just tinkering around with something new, is to get basic computer vision working, using OpenCV and a webcam, or the Raspberry Pi Camera board. Here is a great project by Samuel Matos for inspiration: ...
Test #3 of my Arduino Uno controlled line following bot for the upcoming competition. This test was focused on checking how the bot handles 90 degree turns with sharp corners, line intersections and line breaks. The robot uses 6 TCRT5000 IR reflector sensors positioned in a line. ...
A free, on demand course offered by Udacity. Definitely worth checking out… Course Summary: “Learn how to program all the major systems of a robotic car from the leader of Google and Stanford’s autonomous driving teams. This class will teach you basic methods in Artificial Intelligence, including: probabilistic inference, planning and search, localization, tracking and control, all with a focus on robotics. Extensive programming examples and assignments will apply these methods in the context of building self-driving cars.” ...
Coursera is a social entrepreneurship company that partners with the top universities in the world to offer courses online for anyone to take, for free. One of the courses included in 2013 is “Control of Mobile Robots” by Magnus Egerstedt, a Professor in the School of Electrical and Computer Engineering at the Georgia Institute of Technology. According to the course summary, you will learn how to make mobile robots move in effective, safe, and predictable ways, avoid collisions while reaching target locations, as well as dabble with robots that fly, or walk. Sounds pretty cool! The next session starts on January 28th, 2013… ...