Comments (2)
I think that is not related with curobo library. You can solve that dpkg error with searching your problem on internet.
By the way, I am using curobo very well with nvidia_driver 535.171.04, CUDA 11.8, ubuntu 22.04 and Isaac sim 2023.1.0. So you do not have to worry about compitability issue of this library. I think you can solve your package issue enough.
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@Sepirence thanks for the reply. I tried many ways to solve it, but it did not work out in my system. Right now i am using the Docker Container to use cuRobo.
Thanks again!
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Related Issues (20)
- Velocity scale applied twice to limit HOT 1
- Nvblox collision checker demo sometimes gives incorrect results HOT 1
- Error- Installing with python HOT 1
- Element 0 of tensors does not require grad and does not have a grad_fn HOT 3
- "Getting Started Using in Python" Examples Not Working HOT 2
- Strange behavior of `update_world` not working unless the mesh names change HOT 12
- `motion_gen.warmup` resulting in breaking cuda graph when using `link_poses` with `plan_batch` HOT 1
- Occasional bug with `g_dim` shape HOT 3
- UserWarning occurred when testing motion generation HOT 1
- Gradient of `PoseError` becomes INF HOT 4
- `goal_quat` view size is not compatible, use `.reshape()` instead HOT 1
- plan_single_js() does not quite reach the goal state HOT 4
- Installing Curobo HOT 1
- Will curobo support omniverse-orbit in the future? HOT 1
- Installing curobo HOT 3
- ModuleNotFoundError: No module named 'cv2' HOT 12
- mpc fail to plan with mpc_example.py HOT 3
- Trajectory of motion generation HOT 8
- Error while runnning example scripts HOT 2
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