# Start the generation of the urdf model
./scripts/create_urdf.sh <robot_id> <ee_id>

usage: create_urdf.py [-h] [--robot-ee] [--no-ee] [--with-sc] [--abs-path] [--host-dir HOST_DIR] [--only-ee] robot_model

Generate franka robots urdf models. Script to be executed from franka_description root folder!

positional arguments:
  robot_model          id of the robot model (accepted values are: fr3, fp3, fer, none)

optional arguments:
  -h, --help           show this help message and exit
  --robot-ee           id of the robot end effector (accepted values are: franka_hand, cobot_pump)
  --no-ee              Disable loading of end-effector (robot-ee would be ingnored if set) [WARNING: this argument will be removed in future releases, introducing "none" as ee id].
  --with-sc            Include self-collision volumes in the urdf model.
  --abs-path           Use absolute paths.
  --host-dir HOST_DIR  Provide a host directory for the absolute path.
  --only-ee            Get URDF with solely end-effector data

# visualize_franka.sh launches the visualize_franka.launch.py in a ros2 instance running in the docker container
# The arguments given to the .sh script are forwarded as launch arguments
# Accepted launch arguments are:
#     arm_id - accepted values are: fr3, fp3, fer
#     load_gripper - accepted values are: true (default ee_id is franka_hand), false (ee_id will be ignored) [WARNING: this argument will be removed in future releases, introducing "none" as ee id]
#     ee_id - accepted values are: franka_hand, cobot_pump

./scripts/visualize_franka.sh arm_id:=<robot_id>