I recently ran across this short (13:15) video tutorial describing the process and math of figuring out your position and orientation from an IMU. It was a quick overview at just the right level of detail to connect a lot of the different concepts that I have been thinking about for the rover project.
For the rover, simply getting orientation information out of an AHRS algorithm isn't going to be enough. I also need...
I have this SparkFun GP-20U7 GPS Receiver. It seems to work pretty well. I'm changing around my approach to the autonomous robot, and now I need access to the PPS (Pulse-Per-Second) functionality of the unit. The PPS pad isn't broken out on this device - it's under a pile of red goop you have to scrape off, and is actually part of an unpopulated LED circuit. It's not immediately clear (to me, anyway) how to wire it up to a...
A very after-the-fact robot update from late 2016: GPS works. This is perhaps more awesome than it sounds.
First, if you want a good rant about how GPS communication is terrible, check out this article. It's a magnificent rant about how you never really get your true state or know what time a particular state refers to with GPS, due to a pretty nonstandard standard (NMEA), which itself was due to the "N" in "NMEA" standing for...
AI4R's final project was a bit different than you might expect... In fact, we were asked to track and predict the motion of an object that care barely be called a "robot" at all - a HEXBUG (Example on YouTube). Somebody at GT (presumably) constructed a wooden box for the robot, and then put a circular candle in the center as an obstacle. A video camera was mounted above the scene, and they put the hexbug in and recorded the results. ...
My autonomous robot project will be based around an old toy Radioshack RC car I had as a kid. This thing was pretty good, however. It had an adjustable (proportional) throttle and steering, instead of the cheaper and more-common "all or nothing" approach. The motor looked pretty beefy and I had an RC battery and charger for it, so I thought things would be pretty smooth sailing.
Posted by Matt Good on Thu 08 September 2016
It's officially the Fall 2016 semester of the GT OMS CS program, and this is a big one - Artificial Intelligence for Robotics. I've been looking forward to this class for years. The course is taught by Sebastian Thrun, who headed up the Stanford team that won the DARPA Grand Challenge and came in second in the DARPA Ubran Challenge. The Grand Challenge robot...