The first step in doing something new, useful, and exciting with ROS is — without exception — learning how to use ROS. Ralph Seulin is part of CNRS in France, which, along with universities in Spain and Scotland, collaboratively offer a masters course in robotics and computer vision that includes a focus on ROS. Over four semesters, between 30 and 40 students go through the program. In this talk, Seulin discusses how ROS is taught to these students, as well as what kinds of research they leverage that knowledge into.
Before Seulin’s group could effectively teach ROS to students, they had to learn ROS for themselves. This was a little bit more difficult way back in 2013 than it is now, but they took advantage of the ROS Wiki , read all the books on ROS they could get ahold of, and of course made sure to attend ROSCon. From there, Seulin developed a series of tutorials for his students, starting with simulations and ending up with practical programming in ROS on the TurtleBot 2. Ultimately, students spend 250 hours on a custom robotics project that integrates motion control, navigation and localization, and computer vision tasks.
Seulin also makes use of ROS in application development. One of those applications is in precision vineyard agriculture because, as Seulin explains, “we come from Burgundy.” Using lasers mounted on a tractor to collect and classify 3D data, a prototype robot tractor can be used to analyze vineyard canopies and estimate leaf density. With this information, vineyards can dynamically adjust the application of agricultural chemicals, using just the right amount and only where necessary. Better for plants, better for humans, thanks to ROS.
Next up: Dirk Thomas, William Woodall (OSRF) & Esteve Fernandez
Check out last week’s post: Daniel Di Marco of Bosch