schema_version: "0.1" name: "OpenRAL/rskill-xr1-panda_mobile-robocasa365-nf4" version: "0.1.0" license: "apache-2.0" role: "s1" kind: "vla" model_family: "xr1" evaluated_tasks: ["robocasa"] embodiment_tags: ["panda_mobile"] sensors_required: - modality: "rgb" vla_feature_key: "observation.images.camera1" min_width: 256 min_height: 256 - modality: "rgb" vla_feature_key: "observation.images.camera2" min_width: 256 min_height: 256 - modality: "rgb" vla_feature_key: "observation.images.camera3" min_width: 256 min_height: 256 actuators_required: - kind: "joint_position" control_mode_semantics: mode: "delta" runtime: "pytorch" quantization: dtype: "int4" backend: "pytorch" weights_uri: "hf://OpenRAL/rskill-xr1-panda_mobile-robocasa365-nf4" image_preprocessing: flip_180: false state_contract: layout: "rc365" dim: 16 bindings: eef_frame: "panda_hand_tcp" base_frame: "base_link" world_frame: "odom" gripper_qpos_joints: ["panda_gripper"] quaternion_convention: "xyzw" chunk_size: 16 n_action_steps: 16 latency_budget: per_chunk_ms: 120000.0 policy_extras: xr1_profile: "robocasa365" replan_steps: 16 crop_ratio: 0.95 prequantized_nf4: true paper_url: "https://arxiv.org/abs/2607.15330" source_repo: "hf://XiaomiRobotics/Xiaomi-Robotics-1-RoboCasa365@0d1aa76d0d82debc9b611e4d1e231096434d5be4" description: > Apache-2.0 XR-1 RoboCasa365 checkpoint. The adapter keeps seven frames, samples four at interval two, converts OpenRAL's 16-D quaternion layout to XR-1's 14-D axis-angle state, and replays sixteen decoded actions per query. actions: ["generalist", "pick", "place", "open", "close"] objects: ["kitchen_object"] scenes: ["kitchen"] action_contract: dim: 12 slots: - {range: [0, 5], control_mode: "cartesian_delta", ee: "panda_gripper", frame: "panda_link0"} - {range: [6, 6], control_mode: "gripper_position", ee: "panda_gripper"} - {range: [7, 9], control_mode: "joint_velocity", joint_names: ["base_x", "base_y", "base_yaw"]} - {range: [10, 10], discard: true} - {range: [11, 11], control_mode: "composite_mode"}