lichtphyz/rollout_act_v3_aug_desktop

This dataset was created using LeRobot.

Dataset Description

Part of the SO-101 block-to-bin collection (models, training data and real-robot evaluations).

Real-robot evaluation of the ACT policy lichtphyz/act_v3_aug_desktop on a single SO-101 arm: 10 autonomous episodes (up to 30 s each) of "Put the block in the bin.", recorded with lerobot-rollout --strategy.type=episodic. Inference used temporal ensembling (temporal_ensemble_coeff=0.01, n_action_steps=1). The block was reset by hand between episodes.

• Result: 9/10 successes. The one failure was early in the session (episode 1, 2 or 3).

• Two successes bumped the bin edge with the block, because the arm didn't lift high enough and/or the grip was off-center (but firm); the block still went in. These were the same two placements on which lichtphyz/diffusion_v3_desktop failed (its evaluation: 8/10).

• Grasp positioning was usually more off-center than the Diffusion Policy's, but the policy visibly adjusted toward the block's center, and the grip was good enough in all but one case.

• Model: ACT trained 80k steps at batch 8 on lichtphyz/so101_block_to_bin_v3, with image augmentation (brightness, contrast, saturation, hue, sharpness, small affine).

• Contents: front (workspace) and wrist camera video (640×480, 30 fps), joint states and the policy's actions.

• License: apache-2.0

Dataset Structure

meta/info.json:

{
    "codebase_version": "v3.0",
    "fps": 30,
    "features": {
        "action": {
            "dtype": "float32",
            "names": [
                "shoulder_pan.pos",
                "shoulder_lift.pos",
                "elbow_flex.pos",
                "wrist_flex.pos",
                "wrist_roll.pos",
                "gripper.pos"
            ],
            "shape": [
                6
            ]
        },
        "observation.state": {
            "dtype": "float32",
            "names": [
                "shoulder_pan.pos",
                "shoulder_lift.pos",
                "elbow_flex.pos",
                "wrist_flex.pos",
                "wrist_roll.pos",
                "gripper.pos"
            ],
            "shape": [
                6
            ]
        },
        "observation.images.front": {
            "dtype": "video",
            "shape": [
                480,
                640,
                3
            ],
            "names": [
                "height",
                "width",
                "channels"
            ],
            "info": {
                "is_depth_map": false,
                "video.height": 480,
                "video.width": 640,
                "video.codec": "av1",
                "video.pix_fmt": "yuv420p",
                "video.fps": 30,
                "video.channels": 3,
                "has_audio": false,
                "video.g": 2,
                "video.crf": 30,
                "video.preset": 12,
                "video.fast_decode": 0,
                "video.video_backend": "pyav",
                "video.extra_options": {}
            }
        },
        "observation.images.wrist": {
            "dtype": "video",
            "shape": [
                480,
                640,
                3
            ],
            "names": [
                "height",
                "width",
                "channels"
            ],
            "info": {
                "is_depth_map": false,
                "video.height": 480,
                "video.width": 640,
                "video.codec": "av1",
                "video.pix_fmt": "yuv420p",
                "video.fps": 30,
                "video.channels": 3,
                "has_audio": false,
                "video.g": 2,
                "video.crf": 30,
                "video.preset": 12,
                "video.fast_decode": 0,
                "video.video_backend": "pyav",
                "video.extra_options": {}
            }
        },
        "timestamp": {
            "dtype": "float32",
            "shape": [
                1
            ],
            "names": null
        },
        "frame_index": {
            "dtype": "int64",
            "shape": [
                1
            ],
            "names": null
        },
        "episode_index": {
            "dtype": "int64",
            "shape": [
                1
            ],
            "names": null
        },
        "index": {
            "dtype": "int64",
            "shape": [
                1
            ],
            "names": null
        },
        "task_index": {
            "dtype": "int64",
            "shape": [
                1
            ],
            "names": null
        }
    },
    "total_episodes": 10,
    "total_frames": 5577,
    "total_tasks": 1,
    "chunks_size": 1000,
    "data_files_size_in_mb": 100,
    "video_files_size_in_mb": 200,
    "data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
    "video_path": "videos/{video_key}/chunk-{chunk_index:03d}/file-{file_index:03d}.mp4",
    "robot_type": "so_follower",
    "splits": {
        "train": "0:10"
    }
}

Citation

BibTeX:

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