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Commit 8981bffb authored by Leon Michel Gorißen's avatar Leon Michel Gorißen
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Merge branch 'main' of...

Merge branch 'main' of git-ce.rwth-aachen.de:iop/workstreams/ws.a3/franka_wwl_demonstrator into main
parents d3b529da ca4fdfaf
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...@@ -10,19 +10,18 @@ catkin_ws/src/panda_autodynamics/launch/panda_auto_dynamics_template.launch:8: ...@@ -10,19 +10,18 @@ catkin_ws/src/panda_autodynamics/launch/panda_auto_dynamics_template.launch:8:
catkin_ws/src/panda_autodynamics/scripts/panda_auto_dynamics_v1.py:6:# TODO docstring catkin_ws/src/panda_autodynamics/scripts/panda_auto_dynamics_v1.py:6:# TODO docstring
catkin_ws/src/panda_autodynamics/scripts/panda_auto_dynamics_v1.py:7:# TODO commenting catkin_ws/src/panda_autodynamics/scripts/panda_auto_dynamics_v1.py:7:# TODO commenting
catkin_ws/src/panda_autodynamics/scripts/panda_auto_dynamics_v1.py:173: # TODO implement actually running at 500 Hz catkin_ws/src/panda_autodynamics/scripts/panda_auto_dynamics_v1.py:173: # TODO implement actually running at 500 Hz
catkin_ws/src/panda_autodynamics/scripts/panda_auto_dynamics_v1.py:229: move_group.set_pose_target([0.25, 0, 0.2, -np.pi, 0, 0]) # TODO test 0.6,0,0.2 catkin_ws/src/panda_autodynamics/scripts/panda_auto_dynamics_v1.py:222: ) # TODO test 0.6,0,0.2
catkin_ws/src/panda_autodynamics/scripts/panda_auto_dynamics_v1.py:258: # TODO make this meta data catkin_ws/src/panda_autodynamics/scripts/panda_auto_dynamics_v1.py:269: # TODO make this meta data
catkin_ws/src/panda_autodynamics/scripts/panda_auto_dynamics_v1.py:270: # TODO modify format to work with models in the middel catkin_ws/src/panda_autodynamics/scripts/panda_auto_dynamics_v1.py:281: # TODO modify format to work with models in the middel
catkin_ws/src/panda_autodynamics/scripts/panda_auto_dynamics_v1.py:271: # TODO modify format to save datatype as meta data and create individual trajectory data catkin_ws/src/panda_autodynamics/scripts/panda_auto_dynamics_v1.py:282: # TODO modify format to save datatype as meta data and create individual trajectory data
coscine_watchdog/README.rst:1:.. TODO describe docker compose up for individual component coscine_watchdog/README.rst:1:.. TODO describe docker compose up for individual component
coscine_watchdog/coscine_client.py:177: # TODO add once application profile is merged. coscine_watchdog/coscine_client.py:177: # TODO add once application profile is merged.
coscine_watchdog/coscine_client.py:185: # TODO use update file rath then upload coscine_watchdog/coscine_client.py:185: # TODO use update file rath then upload
coscine_watchdog/coscine_client.py:220: ("datatype", "Datatype is missing"), # , # TODO coscine_watchdog/coscine_client.py:220: ("datatype", "Datatype is missing"), # , # TODO
coscine_watchdog/coscine_client.py:221: # ('dataset_type', 'Dataset type is missing') # TODO coscine_watchdog/coscine_client.py:221: # ('dataset_type', 'Dataset type is missing') # TODO
docs/index.rst:4:.. TODO change to two (or more) main pages + metadata. one on data generation one on ai. docs/index.rst:4:.. TODO change to two (or more) main pages + metadata. one on data generation one on ai.
dynamics_learning/dynamics_learning/testing/__init__.py:180: if ROBOT_UUID: # FIXME dynamics_learning/dynamics_learning/testing/__init__.py:256: # somewhere FIXME: Daten scheinen zu kurz zu sein?
dynamics_learning/dynamics_learning/testing/__init__.py:275: # somewhere FIXME: FFT zeigt nur nn und rtb data nicht gemessen dynamics_learning/dynamics_learning/testing/__init__.py:640: # somewhere FIXME: Daten scheinen zu kurz zu sein?
dynamics_learning/dynamics_learning/testing/__init__.py:276: # somewhere FIXME: nn hat keine daten
dynamics_learning/dynamics_learning/training/__init__.py:169: ) # TODO implement another naming schema, as soon as a custom application profiles for the models is available in coscine. dynamics_learning/dynamics_learning/training/__init__.py:169: ) # TODO implement another naming schema, as soon as a custom application profiles for the models is available in coscine.
dynamics_learning/dynamics_learning/training/__init__.py:175: f"{decision_metric}_val_loss" # TODO implement custom coscine application profile for the models dynamics_learning/dynamics_learning/training/__init__.py:175: f"{decision_metric}_val_loss" # TODO implement custom coscine application profile for the models
dynamics_learning/foundation_model.py:75: test_dataset.download() # FIXME dynamics_learning/foundation_model.py:75: test_dataset.download() # FIXME
......
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