AdrianLlopart commited on
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chore: canonical naming migration

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Files changed (1) hide show
  1. rskill.yaml +9 -9
rskill.yaml CHANGED
@@ -40,7 +40,7 @@
40
  # `dataset_uri`'s `meta/episodes_stats.jsonl`), the processor pair was
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  # rebuilt once via `make_pre_post_processors(policy.config,
42
  # dataset_stats=...)` and uploaded to THIS rSkill's own HF repo
43
- # (OpenRAL/rskill-smolvla-maniskill-franka). The rebuilt normalizer
44
  # stats match the checkpoint's baked `normalize_inputs` /
45
  # `normalize_targets` buffers exactly, so the processors are faithful to
46
  # how the model was trained. The fallback path still exists for any
@@ -48,11 +48,11 @@
48
 
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  # ── Identity ───────────────────────────────────────────────────────────────
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  schema_version: "0.1"
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- name: "OpenRAL/rskill-smolvla-maniskill-franka"
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  version: "0.1.0"
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  license: "apache-2.0"
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  role: "s1"
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- kind: "vla" # ADR-00XX: rSkill kind discriminator. "vla" = learnable Vision-Language-Action policy.
56
 
57
  # ── Policy identity ────────────────────────────────────────────────────────
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  model_family: "smolvla"
@@ -77,7 +77,7 @@ sensors_required:
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  min_width: 256
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  min_height: 256
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- # Output side (ADR-0013). 7 arm joints + 1 gripper command. For
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  # franka_panda the loader auto-fills n_dof + vla_action_key from
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  # robots/franka_panda/robot.yaml.
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  actuators_required:
@@ -101,8 +101,8 @@ weights_uri: "hf://Calvert0921/smolvla_franka_liftcube_1000"
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  # downloads exactly these files (and their `state_file` siblings) β€” no 404,
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  # no dataset-stats recompute at load time.
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  processors:
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- preprocessor_uri: "hf://OpenRAL/rskill-smolvla-maniskill-franka/policy_preprocessor.json"
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- postprocessor_uri: "hf://OpenRAL/rskill-smolvla-maniskill-franka/policy_postprocessor.json"
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  # Per-checkpoint knobs the processor JSONs don't encode. The model was
107
  # trained on raw SAPIEN renders (no 180Β° flip); cameras need an alias
108
  # remap from the in-tree scene-side keys (camera1 / camera2) to the
@@ -130,7 +130,7 @@ latency_budget:
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  paper_url: "https://arxiv.org/abs/2506.01844"
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  dataset_uri: "hf://Calvert0921/SmolVLA_LiftCube_Franka_1000"
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  source_repo: "hf://Calvert0921/smolvla_franka_liftcube_1000"
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- # Task-data gate (ADR-0060): this checkpoint was trained on the *LiftCube*
134
  # dataset (a ManiSkill2-style "lift the cube to a height" task) which has NO
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  # equivalent env in ManiSkill3 3.0.1 β€” MS3 ships PickCube-v1 (grasp + place at
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  # a goal + stay static), a different task. Declaring the (MS3-absent) true task
@@ -152,7 +152,7 @@ description: >
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  Runs end-to-end on ManiSkill3 PickCube-v1 with a live SAPIEN viewer
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  via `openral sim run --view`.
154
 
155
- # ADR-0022 β€” action vocabulary surfaced to the reasoner LLM tool palette.
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  # "lift" is not in the RSkillAction enum; the lift motion is expressed
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  # as a pick (the post-grasp upward motion is implicit in the policy's
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  # closed-loop control).
@@ -164,7 +164,7 @@ objects:
164
  scenes:
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  - "tabletop"
166
 
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- # ADR-0019 β€” per-checkpoint action contract (consumed by the dataset bridge
168
  # to bind the LeRobot v3 `action` feature shape).
169
  action_contract:
170
  dim: 8
 
40
  # `dataset_uri`'s `meta/episodes_stats.jsonl`), the processor pair was
41
  # rebuilt once via `make_pre_post_processors(policy.config,
42
  # dataset_stats=...)` and uploaded to THIS rSkill's own HF repo
43
+ # (OpenRAL/rskill-smolvla-franka_panda-maniskill3-bf16). The rebuilt normalizer
44
  # stats match the checkpoint's baked `normalize_inputs` /
45
  # `normalize_targets` buffers exactly, so the processors are faithful to
46
  # how the model was trained. The fallback path still exists for any
 
48
 
49
  # ── Identity ───────────────────────────────────────────────────────────────
50
  schema_version: "0.1"
51
+ name: "OpenRAL/rskill-smolvla-franka_panda-maniskill3-bf16"
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  version: "0.1.0"
53
  license: "apache-2.0"
54
  role: "s1"
55
+ kind: "vla" # rSkill kind discriminator. "vla" = learnable Vision-Language-Action policy.
56
 
57
  # ── Policy identity ────────────────────────────────────────────────────────
58
  model_family: "smolvla"
 
77
  min_width: 256
78
  min_height: 256
79
 
80
+ # Output side. 7 arm joints + 1 gripper command. For
81
  # franka_panda the loader auto-fills n_dof + vla_action_key from
82
  # robots/franka_panda/robot.yaml.
83
  actuators_required:
 
101
  # downloads exactly these files (and their `state_file` siblings) β€” no 404,
102
  # no dataset-stats recompute at load time.
103
  processors:
104
+ preprocessor_uri: "hf://OpenRAL/rskill-smolvla-franka_panda-maniskill3-bf16/policy_preprocessor.json"
105
+ postprocessor_uri: "hf://OpenRAL/rskill-smolvla-franka_panda-maniskill3-bf16/policy_postprocessor.json"
106
  # Per-checkpoint knobs the processor JSONs don't encode. The model was
107
  # trained on raw SAPIEN renders (no 180Β° flip); cameras need an alias
108
  # remap from the in-tree scene-side keys (camera1 / camera2) to the
 
130
  paper_url: "https://arxiv.org/abs/2506.01844"
131
  dataset_uri: "hf://Calvert0921/SmolVLA_LiftCube_Franka_1000"
132
  source_repo: "hf://Calvert0921/smolvla_franka_liftcube_1000"
133
+ # Task-data gate: this checkpoint was trained on the *LiftCube*
134
  # dataset (a ManiSkill2-style "lift the cube to a height" task) which has NO
135
  # equivalent env in ManiSkill3 3.0.1 β€” MS3 ships PickCube-v1 (grasp + place at
136
  # a goal + stay static), a different task. Declaring the (MS3-absent) true task
 
152
  Runs end-to-end on ManiSkill3 PickCube-v1 with a live SAPIEN viewer
153
  via `openral sim run --view`.
154
 
155
+ # Action vocabulary surfaced to the reasoner LLM tool palette.
156
  # "lift" is not in the RSkillAction enum; the lift motion is expressed
157
  # as a pick (the post-grasp upward motion is implicit in the policy's
158
  # closed-loop control).
 
164
  scenes:
165
  - "tabletop"
166
 
167
+ # Per-checkpoint action contract (consumed by the dataset bridge
168
  # to bind the LeRobot v3 `action` feature shape).
169
  action_contract:
170
  dim: 8