clean-up-the-kitchen

Teleoperation

python teleop.py --task Real2Sim --ds_name [DS_NAME] usd_path=[USDPATH] actions.type=[relative/absolute] --enable_cameras --headless

Collect Motion Planned Trajetories

todo

Rollout models in simulation

python collect.py --task Real2Sim usd_path=./data/basement_flat.usd data_collection.save=False actions.type="relative"

Rollout models in real-world

python deploy_real.py

1. Clone this repo!
2. Create conda/mamba environment with conda create -n real2sim python=3.10 or micromamba create -n real2sim python=3.10
3. Activate the environment: conda activate real2sim
4. Install dependencies using requirements file. pip install -r ./requirements.txt
5. Go to https://github.com/arhanjain/M2T2, clone it anywhere, and follow the README instructions there to install M2T2
6. Specify the path to m2t2.pth model weights in config/config.yml under grasp.eval section
7. Go to https://curobo.org/get_started/1_install_instructions.html#install-for-use-in-isaac-sim and install CuRobo
8. Make a data folder and add the usdz file sent by @arhanjain into the data directory
9. Run python scripts/xform_mapper.py --usd_path [PATH_TO_USDZ]
10. Open config/config.yml and replace the usd_info_path with the output path of file produced by step 4.
11. Run python collect.py --task Real2Sim
12. Convert your data to hdf5 format using python scripts/convert_to_hdf5.py --data_dir [DATADIR]

If you reach this point, you have now at least begun data collection successfully. For next steps, reach out to Arhan.

Teleoperation

NUC

Running the Franka Server

1. Open 3 Terminal Shells: This setup requires three separate terminal windows.
2. Activate Conda Environment: In each shell, activate the arhan-droid environment with:

   conda activate arhan-droid

3. Navigate to Project Directory: Change directory to ~/droid/ in each shell:

   cd ~/droid/

4. Run Commands in Order:
   • In the first shell, run:

     ./droid/franka/launch_robot.py

   • In the second shell, run:

     ./droid/franka/launch_gripper.py

   • In the third shell, run:

     ./scripts/server/launch_server.py

   Hint: Ensure that both the robot and the gripper are shown as connected in the launch robot/gripper scripts!

Control PC

The Control PC section covers the setup steps specific to the PC used for controlling the teleoperation system.

1. Activate Conda Environment: Open a terminal and activate the auto-articulate environment:

   conda activate auto-articulate

2. Connect Oculus: Ensure the Oculus device is properly connected to the Control PC.
3. Verify Connection: Run the following command to check that the Oculus device is recognized:

   adb devices

   You should see the Oculus device listed as "attached" if it’s connected correctly.
4. Navigate to Project Directory: Change directory to ~/projects/clean-up-the-kitchen/:

   cd ~/projects/clean-up-the-kitchen/

5. Run Teleoperation Script: Start the teleoperation process by running:

   python ./scripts/teleop_real [DATASET_NAME]

   Replace [DATASET_NAME] with your desired dataset name to save the session’s data.

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