The answer is yes, for example many robot computers are based on the linux real-time kernels to handle the real-time constraints.
For small robots for teaching like the turtlebot uses a raspberry pi for the high-level control, and a motor control board for the real-time control.
Another example is the Ball balancing robot that uses an STM32 Nucleo board with ...
Axial (or thrust) force refers to the force applied along the axis of rotation, not the load that is applied to the motor. (This load would be a torque, anyways... not a force).
Probably fine for a tractor, not fine for a F1 racecar. This is a question you need to answer based on your application.
There might be. You can adapt drills with anti-backdrive pins ...
Actually, the HECTOR_NAVIGATION package depends on other packages and one of them is ceres_catkin (https://github.com/tu-darmstadt-ros-pkg/ceres_catkin) which you need to clone and build in your catkin workspace. However, this ceres_catkin further depends on catkin_simple (https://github.com/catkin/catkin_simple), glog_catkin (https://github.com/ethz-asl/...
I think I found the problem that was causing the errors.
I was sending serial commands to the create 2 via Arduino. To make things easier I was using the create2 libary that summarizes commands (https://github.com/brinnLabs/Create2).
It looks like the freezing of the sound results from some bugs in that libary (maybe the calculation of the songlength). And ...
I am also working on visual tracking using overhead imagery. What I am proposing to do is training a YOLO V3 object detector on an edge device (camera with a wide-angle lens) to first identify and classify the objects within a scene. Once that is done, the objects can then be tracked within the scene using SORT, DeepSORT, or a similar algorithm.
You've been asking lots of questions along these lines, and I've been there before - I know what it is to be at your wits end trying to find a solution. I'm going to try to help, but part of my "help" is to point out that I don't understand how your equations are derived. To that end, I'm going to show why I understand how they're derived. I'll ...
Based on your comment:
if I am able to get 0 to 2pi, would be enough as well.
The following code will do it:
modifiedHeading = SensorOutput();
if(modifiedHeading < 0)
modifiedHeading += 360f;
But, as I've mentioned previously, you still have the jump discontinuity, but you've moved it from the 359/1 degree range from the 179/-179 degree range.