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parsed_datasets_friction_pinn_estimation

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FilippoPasserini commited on
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Add r_hip_roll data (with motor temperature)

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Files changed (19) hide show
  1. r_hip_roll/README.md +7 -0
  2. r_hip_roll/raw_data/ramp/robot_logger_device_2025_04_17_18_53_06.zip +3 -0
  3. r_hip_roll/raw_data/ramp/robot_logger_device_2025_04_17_19_19_06.zip +3 -0
  4. r_hip_roll/raw_data/ramp/robot_logger_device_2025_04_17_19_43_53.zip +3 -0
  5. r_hip_roll/raw_data/sinusoid/robot_logger_device_2025_04_17_19_00_01.zip +3 -0
  6. r_hip_roll/raw_data/sinusoid/robot_logger_device_2025_04_17_19_09_17.zip +3 -0
  7. r_hip_roll/raw_data/sinusoid/robot_logger_device_2025_04_17_19_25_41.zip +3 -0
  8. r_hip_roll/raw_data/sinusoid/robot_logger_device_2025_04_17_19_33_49.zip +3 -0
  9. r_hip_roll/raw_data/sinusoid/robot_logger_device_2025_04_17_19_50_25.zip +3 -0
  10. r_hip_roll/raw_data/sinusoid/robot_logger_device_2025_04_17_19_56_59.zip +3 -0
  11. r_hip_roll/testing/robot_logger_device_2025_04_17_19_43_53_resampled_parsed.zip +3 -0
  12. r_hip_roll/testing/robot_logger_device_2025_04_17_19_50_25_resampled_parsed.zip +3 -0
  13. r_hip_roll/testing/robot_logger_device_2025_04_17_19_56_59_resampled_parsed.zip +3 -0
  14. r_hip_roll/training/robot_logger_device_2025_04_17_18_53_06_resampled_parsed.zip +3 -0
  15. r_hip_roll/training/robot_logger_device_2025_04_17_19_00_01_resampled_parsed.zip +3 -0
  16. r_hip_roll/training/robot_logger_device_2025_04_17_19_09_17_resampled_parsed.zip +3 -0
  17. r_hip_roll/training/robot_logger_device_2025_04_17_19_19_06_resampled_parsed.zip +3 -0
  18. r_hip_roll/training/robot_logger_device_2025_04_17_19_25_41_resampled_parsed.zip +3 -0
  19. r_hip_roll/training/robot_logger_device_2025_04_17_19_33_49_resampled_parsed.zip +3 -0
r_hip_roll/README.md ADDED
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+ The data are collected on the pole, using an hair drier to increase the temperature of the motor. Please, see https://github.com/ami-iit/element_sensorless-torque-control/issues/234#issuecomment-2824434705 for details.
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+
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+ In the folder `raw`, you find the original datasets collected on the robot.
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+ In the folder `training` and `testing`, instead, you find the parsed datasets in .pickle format, ready to be used for PINN training.
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+
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+ Commit used for parsing: https://github.com/ami-iit/element_sensorless-torque-control/pull/230/commits/7ab2a2c01223849b0f9f4113601c19b499b3ac0f
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+
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