Flattening

Responsible partner: UG

Description

Flattening of unfolded clothes on the table using RobotHead

Preconditions

  • Cameras drivers are installed properly.
  • PTU (Pan-Tilt units) drivers are installed properly.
  • Cameras are turned on.
  • RobotHead camera nodes are running.
  • RobotHead PTU, feature extraction and vergence nodes are running.
  • Matcher node is running.
  • Position of table, from which is clothes picked up (especially its height), has to be precisely calibrated because of potencially very small distance of gripper from this table.
  • RobotHead has to be calibrated for the same reason like in previous point.

Inputs

  1. iterations (int)
    - number of flattening iteratios
  2. table (string)
    - the name of the table desk where garment is located { t1, t2, t3 }

Outputs

  1. final_iterations (int16)
    - final number of processed iterations of flattening#
  2. success (bool)
    - action completed successfully { true, false }
  3. error_message (string)
    - description of error, if success = false

Failure conditions, recovery from failure

Performance / robustness indicators