febert/visual_mpc

Visual MPC implementation running on Rethink Sawyer Robot

visual_mpc's Issues

action, end_effector_pos and image_aux1/encoded explanation

Hello @febert and thank you for sharing the code.
I am using the BAIR robot dataset for my research and I could not understand something.

To begin with, what do the values represent in the action and end_effector_pos features?
I assume in the end_effector_pos it is the [x,y,z] coordinates of the end effector but what about the action ?
Also, what is the difference between image_aux1/encoded and image_main/encoded?

I have been looking around for hours trying to find the answer to these but I could not find anything. Any help would be much appreciated.

Thank you very much for your time!

Modulating forces

Hello, does the action space also include amount of force to apply at each position / orn?

thanks for your help and making this available.

No module named 'python_visual_mpc'

After following the steps in the installation file, when I try to run:

python parallel_data_collection.py /random_action_var10

for example, (with any of the data folder names) I get the following error:

parallel_data_collection.py:3: DeprecationWarning: the imp module is deprecated in favour of importlib; see the module's documentation for alternative uses
import imp
Traceback (most recent call last):
File "parallel_data_collection.py", line 5, in
from python_visual_mpc.visual_mpc_core.infrastructure.lsdc_main_mod import LSDCMain
ModuleNotFoundError: No module named 'python_visual_mpc'

Do you see anything obvious that I am overlooking?