Pick-and-Place by Octo
torobooctoimpedance controlthe robot's behavioral policy was acquired through imitation learning. We collected about 50 samples for each instruction through teleoperation. We used Octo, an open-source generalist robot policy, as a pre-trained model. The pre-trained Octo model was fine-tuned to our collected examples.The learned policy monitors the task progress and generates the next action based on the camera image. Thus, it can complete the task even if it fails or is disturbed during execution.