Multi-agent environment

[wjyustl]

Hi, @ScheiklP Sorry disturbing you again. Some time ago the question of "successful_task" was resolved. I drew the following line diagram with wandb. Set "number_of_envs" to 8 and the results were repeated 5 times to take the average value.

My latest question is about multi-agent environment. I want to test a multi-agent reinforcement learning algorithm that needs to use multi-agent environment. Taking "RopeThreading" for example, I found that two laparoscopic graspers could not do the action at the same time, that is, when one did the action, the other had to stop. Is the "RopeThreading" environment still a multi-agent environment? Is it reasonable if I want to train this environment with a multi-agent reinforcement learning algorithm (e.g. MAPPO) instead of a PPO?

[Fhy0720]

@wjyustl , I encountered the same problem as you. I'm wondering if there is a multi-agent task here, although it seems to be mentioned in the paper, in the code I'm not sure.

[wjyustl]

I also encounter the following problems when the code was running:

Traceback (most recent call last): File "/home/wjy/anaconda3/envs/MyLapGym/lib/python3.9/multiprocessing/process.py", line 315, in _bootstrap self.run() File "/home/wjy/anaconda3/envs/MyLapGym/lib/python3.9/multiprocessing/process.py", line 108, in run self._target(*self._args, self._kwargs) File "/home/wjy/anaconda3/envs/MyLapGym/lib/python3.9/site-packages/stable_baselines3/common/vec_env/subproc_vec_env.py", line 45, in _worker observation, reset_info = env.reset(seed=data) File "/home/wjy/anaconda3/envs/MyLapGym/lib/python3.9/site-packages/gymnasium/wrappers/time_limit.py", line 75, in reset return self.env.reset(kwargs) File "/home/wjy/MyLapGym/sofa_env/sofa_env/scenes/rope_threading/rope_threading_env.py", line 769, in reset super().reset(seed) File "/home/wjy/MyLapGym/sofa_env/sofa_env/base.py", line 208, in reset self._init_sim() File "/home/wjy/MyLapGym/sofa_env/sofa_env/scenes/rope_threading/rope_threading_env.py", line 299, in _init_sim super()._init_sim() File "/home/wjy/MyLapGym/sofa_env/sofa_env/base.py", line 282, in _init_sim self.scene_creation_result = getattr(self._scene_description_module, "createScene")(self._sofa_root_node, **self.create_scene_kwargs) File "/home/wjy/MyLapGym/sofa_env/sofa_env/scenes/rope_threading/scene_description.py", line 144, in createScene Eye( File "/home/wjy/MyLapGym/sofa_env/sofa_env/scenes/rope_threading/sofa_objects/eye.py", line 90, in init self.center_node.addObject("RigidMapping", template="Rigid3,Rigid3", globalToLocalCoords=True) ValueError: Object type RigidMapping<> was not created
The object is in the factory but cannot be created.
Requested template : Rigid3,Rigid3
Used template : None
Also tried to create the object with the template 'Rigid2d,Vec2d' but failed for the following reason(s):

1. Data attribute 'input' does not point to a mechanical state of data type 'Rigid2d' and none can be found in the parent node context.
   Also tried to create the object with the template 'Rigid3d,Vec3d' but failed for the following reason(s):
2. Data attribute 'output' does not point to a mechanical state of data type 'Vec3d' and none can be found in the parent node context.

[ScheiklP]

Hi @wjyustl and @DISCORDzzz ,

1. For the error: which version of SOFA do you use? v23.06?
2. The multi-agent / multi-instrument tasks are Deflect Spheres, Grasp Lift and Touch, Search for Point, and Rope Threading. Additionally Precision Cutting and Ligating Loop can use an additional grasper. In the paper, we differentiate between sequential coordination and simultaneous coordination. Multi-Agent RL algorithms would be super interesting. We also looked into that in a previous paper: https://ieeexplore.ieee.org/abstract/document/9636193

[wjyustl]

@ScheiklP Thanks. My SOFA version is v23.06.

I change "render_mode" to HUMAN https://github.com/ScheiklP/sofa_zoo/blob/main/sofa_zoo/envs/rope_threading/ppo.py#L44 and comment out lines 138-140 of the code. https://github.com/ScheiklP/sofa_zoo/blob/main/sofa_zoo/envs/rope_threading/ppo.py#L138-140

In addition, I need to comment out https://github.com/ScheiklP/sofa_env/blob/main/sofa_env/scenes/rope_threading/sofa_objects/eye.py#L90 in eye.py.

The ppo.py in rope_threading can operate normally. Will it make a big difference?

[ScheiklP]

I am actually not sure. Have you noticed anything?