Arm Manipulation Google Collaboratory about assistive-gym HOT 3 CLOSED

In general, you can test out the arm manipulation environment using the command

python3 -m assistive_gym --env "ArmManipulationSawyer-v1"

The figure you linked to is an example in which human preferences are disabled. This is done by commenting out this line: https://github.com/Healthcare-Robotics/assistive-gym/blob/main/assistive_gym/envs/arm_manipulation.py#L28
and then training a new robot control policy (see the Wiki: https://github.com/Healthcare-Robotics/assistive-gym/wiki/5.-Training-New-Policies).

The human arms have two types of joint limits. The first is pose-independent hard limits, which are set here: https://github.com/Healthcare-Robotics/assistive-gym/blob/main/assistive_gym/envs/human_creation.py#L217
The second type of joint limits that are applied to the arms are pose-dependent limits (put your hand behind your back and you will likely notice it is more difficult to fully bend your elbow). Pose-dependent joint limits are applied here: https://github.com/Healthcare-Robotics/assistive-gym/blob/main/assistive_gym/envs/agents/human.py#L129

from assistive-gym.

For Google Colab, you can edit this notebook to use the environment ArmManipulationSawyer-v1
https://colab.research.google.com/drive/1PAY5HnLKRB-TBsPaevRr6myMfpVt_yzF?usp=sharing

Here is an example of training a new policy in Google Colab.
https://colab.research.google.com/drive/1P6zYEL2Pfq7GOCtmoLlRNGrKkPQTVAQF?usp=sharing

from assistive-gym.

Thank you for your messages. How can we use this Assistive Gym Arm Manipulation example in ROS?

from assistive-gym.