Using OpenAI Gym to train an open-source 3D printed robot
github.com
github.com
You can look up Series Elastic Actuators for more info or use this article as guidance (any spring will do as long as the force range and spring constant is adequate).
https://www.sciencedirect.com/science/article/pii/S240589631...
[0]http://www.robotis.us/dynamixel-mx-106t/ [1]https://www.youtube.com/watch?v=sjFR4ACVLmk [2]http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.147.... [3]https://www.youtube.com/watch?v=_g79mOSvSsE [4]https://www.youtube.com/watch?v=sjFR4ACVLmk
ODrive + brushless + encoder (~150€ per axis) can provide current measurements, though you may need to create some PID loop.
If the brushless solution is still too expensive. You can use 775 brushed motors + encoder + BTS 7960 driver + (optional gearbox) (They have current sensing by using additional resistance (Edit:and RC filter) ) (10€-50€ per axis from china). Although that's not powerful enough for jumping robots.
I’d love to try it. I couldn’t determine if it can walk or not.
Maybe the next step will involve fitting servo motors on to the robot?
In the days when Sussman was a novice, Minsky once came to him as he sat hacking at the PDP-6.
“What are you doing?”, asked Minsky.
“I am training a randomly wired neural net to play Tic-Tac-Toe” Sussman replied.
“Why is the net wired randomly?”, asked Minsky.
“I do not want it to have any preconceptions of how to play”, Sussman said.
Minsky then shut his eyes.
“Why do you close your eyes?”, Sussman asked his teacher.
“So that the room will be empty.”
At that moment, Sussman was enlightened.