A Python package that collects robotic environments based on the PyBullet simulator, suitable to develop and test Reinforcement Learning algorithms on simulated grasping and manipulation applications.
@eleramp @H2SO4T Once the environments will be tested extensively, please fill a README.md file here with a short description of the two environments implemented to give an overview to the user.
A possible template can be the following.
Robot environments
iCub env
Short description of the basic env (some bullet points) + image
Panda env
Short description of the basic env (some bullet points) + image
Task environments
iCub Push env
Short description of the basic env (some bullet points) + image
Panda Push env
Short description of the basic env (some bullet points) + image
@eleramp @H2SO4T Once the environments will be tested extensively, please fill a README.md file here with a short description of the two environments implemented to give an overview to the user.
A possible template can be the following.
Robot environments
iCub env
Short description of the basic env (some bullet points) + image
Panda env
Short description of the basic env (some bullet points) + image
Task environments
iCub Push env
Short description of the basic env (some bullet points) + image
Panda Push env
Short description of the basic env (some bullet points) + image
If you want we can discuss it together asap.