An open-source 3D-printed quadrupedal robot. Motion Algorithms for dynamic walking gaits, Artificial Intelligence & Visual SLAM for dynamic terrain mapping & obstacle avoidance.
I've been formally documenting this project in the form of papers. You can find them here: adham-e.dev/papers
In the model folder, you can find all of the step & stl files that I used for my build of OpenQuadruped. There, you can also find a Bill of Materials, and some guides (in progress).
I made a custom pcb board to control the position and speed of 12 servos simultaneously, as well as interface with all of the sensors.
You can find the gerber files for the custom pcb in the hardware folder in this repository.
You can find the bill of materials for this project here.
To try the visualization tool out, you'll need to run the animate.py python file with the proper libraries installed. (matplotlib 3.0.3 supported).
You can then use keyboard controls: use x, y, z, a, p, r to select (x axis, y axis, z axis, yaw, pitch, roll), and then the up and down buttons to increment the selected position. If you click '1' on your keyboard, it will reset the position.
Right now, if you try to go to an impossible pose that would result in collisions, the body will do some weird things. If that happens, just click "1" on your keyboard to reset the position.
Note: Pitch and Roll are currently not working. I am currently trying to fix that.
