slobot/aic-act-nahid-v2
ACT policy trained with LeRobot on the slobot/aic dataset.
Training setup
- Dataset:
slobot/aic
- Dataset revision:
main
- Policy:
act
- Cameras:
observation.images.center_camera, observation.images.left_camera, observation.images.right_camera
- Observation state: concatenation of unnormalized
observation.task_id.* and normalized observation.tcp_offset.*
- Action target: normalized
action.tcp_offset
- Training steps:
100000
Files
This repo contains the final exported LeRobot policy bundle from checkpoint 100000.
