google robot joint-position control
google robot joint-position control. Bounded simulated joint offsets from the original reset pose; not locomotion or object-task validation.
mujoco-google-robot-joint-control | Record version: 1.0.0
Record JSON | Markdown recipe | Complete search index
Fetch and prepare
curl -fsSL https://hub.superfastrobotics.com/skills/mujoco-google-robot-joint-control/skill.json
curl -fsSL https://hub.superfastrobotics.com/skills/mujoco-google-robot-joint-control/README.md
python /PATH_TO_SKILL/scripts/rsh.py inspect mujoco-google-robot-joint-control --json
python /PATH_TO_SKILL/scripts/rsh.py prepare mujoco-google-robot-joint-control --project ./experiment --expected-source-commit 62ab00f2bc44f6f20c1c9b7a13f3fb1dd41a4e35 --expected-record-version 1.0.0 --plan --json
Inspect the requirements, then remove --plan to prepare a project. Preparation verifies the archive SHA256 and preserves exact source pins. --install-deps explicitly installs dependencies. Run the returned simulation command separately.
Environment
- Runtime
- mujoco 3.3.7
- Robot
- google_robot
- Controller
- native_position_actuators
- Observation
- joint_state
- OS / architecture
- linux / x86_64
- Python
- >=3.10,<3.11
Compatibility status: hub_verified
Privileged simulator state and declared goals; no perception or real sensor validation.
Requirements
- Linux x86_64; CPU simulation; see retained receipt for the exact host environment
Headless. EGL libraries are required for MuJoCo imports; PushT uses SDL dummy video. No interactive display.
Packages: mujoco==3.3.7, numpy==1.26.4
Direct runtime versions are pinned and measured. The receipt retains the complete environment freeze; prepare records the installed environment. System drivers are separate host requirements.
External API keys: none.
Invocation
Executable interface
{
"version": "1",
"kind": "controller",
"abstraction_level": 1,
"execution_domain": "simulation",
"language": "python",
"input_transport": "json_file_or_inline",
"output_transport": "json_stdout",
"output_selector": "outputs",
"conventions": {
"linear_unit": "m",
"angular_unit": "rad",
"time_unit": "s",
"coordinate_frame": "right_handed_world_xyz; +z_up",
"joint_order": "joint_torso,joint_shoulder,joint_bicep,joint_elbow,joint_forearm,joint_wrist,joint_gripper,joint_finger_right,joint_finger_left",
"quaternion_order": "not_used"
},
"input_schema": {
"type": "object",
"required": [
"seed",
"joint_offset_rad"
],
"properties": {
"seed": {
"type": "integer",
"minimum": 0,
"maximum": 10000
},
"joint_offset_rad": {
"type": "number",
"minimum": -0.15,
"maximum": 0.15,
"x-unit": "rad"
}
},
"additionalProperties": false
},
"output_schema": {
"type": "object",
"required": [
"joint_positions_rad",
"target_joint_positions_rad",
"max_error_rad",
"movement_rad"
],
"properties": {
"joint_positions_rad": {
"type": "array",
"minItems": 9,
"maxItems": 9,
"items": {
"type": "number",
"minimum": -20,
"maximum": 20
},
"x-unit": "rad",
"x-frame": "named_model_joint_coordinates",
"x-order": [
"joint_torso",
"joint_shoulder",
"joint_bicep",
"joint_elbow",
"joint_forearm",
"joint_wrist",
"joint_gripper",
"joint_finger_right",
"joint_finger_left"
]
},
"target_joint_positions_rad": {
"type": "array",
"minItems": 9,
"maxItems": 9,
"items": {
"type": "number",
"minimum": -20,
"maximum": 20
},
"x-unit": "rad",
"x-frame": "named_model_joint_coordinates",
"x-order": [
"joint_torso",
"joint_shoulder",
"joint_bicep",
"joint_elbow",
"joint_forearm",
"joint_wrist",
"joint_gripper",
"joint_finger_right",
"joint_finger_left"
]
},
"max_error_rad": {
"type": "number",
"minimum": 0,
"maximum": 50,
"x-unit": "rad"
},
"movement_rad": {
"type": "number",
"minimum": 0,
"maximum": 50,
"x-unit": "rad"
}
},
"additionalProperties": false
},
"preconditions": [
"Use the exact recorded source, Linux Python 3.10 environment and pinned direct packages.",
"No physical robot, network actuation or external robot credentials."
],
"postconditions": [
"All reported checks must be true and all output numbers finite.",
"Success covers the declared goal and frozen cases, not arbitrary tasks or physical hardware."
],
"failure_codes": [
"invalid_input_or_environment",
"execution_failed",
"task_failed"
],
"composition": {
"depends_on": [],
"automatic_frame_conversion": false,
"automatic_hardware_execution": false
},
"origin_reference_ids": [
"mujoco-menagerie-artifact-google-robot-scene-xml"
],
"origin_relationship": "prepared_from_the_same_pinned_model; inspect the declared controller and goal; no physical compatibility is inferred"
}
Entrypoint: python run.py
{
"argv": [
"{python}",
"{recipe_dir}/run.py",
"--source-dir",
"{source_dir}",
"--example"
],
"inputs": {
"seed": 0,
"joint_offset_rad": 0.08
},
"outputs": {
"format": "single JSON object",
"payload_selector": "outputs",
"schema": {
"type": "object",
"required": [
"joint_positions_rad",
"target_joint_positions_rad",
"max_error_rad",
"movement_rad"
],
"properties": {
"joint_positions_rad": {
"type": "array",
"minItems": 9,
"maxItems": 9,
"items": {
"type": "number",
"minimum": -20,
"maximum": 20
},
"x-unit": "rad",
"x-frame": "named_model_joint_coordinates",
"x-order": [
"joint_torso",
"joint_shoulder",
"joint_bicep",
"joint_elbow",
"joint_forearm",
"joint_wrist",
"joint_gripper",
"joint_finger_right",
"joint_finger_left"
]
},
"target_joint_positions_rad": {
"type": "array",
"minItems": 9,
"maxItems": 9,
"items": {
"type": "number",
"minimum": -20,
"maximum": 20
},
"x-unit": "rad",
"x-frame": "named_model_joint_coordinates",
"x-order": [
"joint_torso",
"joint_shoulder",
"joint_bicep",
"joint_elbow",
"joint_forearm",
"joint_wrist",
"joint_gripper",
"joint_finger_right",
"joint_finger_left"
]
},
"max_error_rad": {
"type": "number",
"minimum": 0,
"maximum": 50,
"x-unit": "rad"
},
"movement_rad": {
"type": "number",
"minimum": 0,
"maximum": 50,
"x-unit": "rad"
}
},
"additionalProperties": false
}
}
}
Success: All declared goal and finite-state checks pass; exit 0 with task_complete. Move the named actuated hinge joints by a bounded offset from the reset/settled pose; max residual <0.035 rad and nonzero actual motion. This is not end-effector planning, balance, locomotion or hardware control.
Timeout: 180 seconds. Terminate the adapter at the recorded timeout. No physical hardware is opened.
Failure modes
- Invalid input or source checksum
- Different pinned package version
- Unavailable runtime/driver
- Goal not reached within bounded steps
Source and license
- Repository
- https://github.com/google-deepmind/mujoco_menagerie
- Authors
- MuJoCo Menagerie contributors and the pinned model licensors
- Commit
62ab00f2bc44f6f20c1c9b7a13f3fb1dd41a4e35- Archive SHA256
6866543ef9f07fd24f3fa4d134c06b30f5276f48daf412022b6edbaf6b2f0152- License
- Apache-2.0
- Hub commit
ede75c00118e9808e5099da43c26f4619cc3bc37
- google_robot/CHANGELOG.md
- google_robot/LICENSE
- google_robot/README.md
- google_robot/assets/finger_base_texture.png
- google_robot/assets/finger_tip_texture.png
- google_robot/assets/link_base_0_00.stl
- google_robot/assets/link_base_0_01.stl
- google_robot/assets/link_base_1_00.stl
- google_robot/assets/link_base_1_01.stl
- google_robot/assets/link_base_1_02.stl
- google_robot/assets/link_base_1_03.stl
- google_robot/assets/link_base_1_04.stl
- google_robot/assets/link_base_1_05.stl
- google_robot/assets/link_base_1_06.stl
- google_robot/assets/link_base_1_07.stl
- google_robot/assets/link_base_1_08.stl
- google_robot/assets/link_base_1_09.stl
- google_robot/assets/link_base_1_10.stl
- google_robot/assets/link_base_1_11.stl
- google_robot/assets/link_base_1_12.stl
- google_robot/assets/link_base_1_13.stl
- google_robot/assets/link_base_1_14.stl
- google_robot/assets/link_base_1_15.stl
- google_robot/assets/link_base_1_16.stl
- google_robot/assets/link_base_1_17.stl
- google_robot/assets/link_base_1_18.stl
- google_robot/assets/link_base_1_19.stl
- google_robot/assets/link_base_v.obj
- google_robot/assets/link_bicep.stl
- google_robot/assets/link_bicep_v.obj
- google_robot/assets/link_elbow.stl
- google_robot/assets/link_elbow_v.obj
- google_robot/assets/link_finger_base.stl
- google_robot/assets/link_finger_base_v.obj
- google_robot/assets/link_finger_tip.stl
- google_robot/assets/link_finger_tip_v.obj
- google_robot/assets/link_forearm.stl
- google_robot/assets/link_forearm_v.obj
- google_robot/assets/link_gripper.stl
- google_robot/assets/link_gripper_v.obj
- google_robot/assets/link_head_pan.stl
- google_robot/assets/link_head_pan_v.obj
- google_robot/assets/link_head_tilt.stl
- google_robot/assets/link_head_tilt_v.obj
- google_robot/assets/link_shoulder.stl
- google_robot/assets/link_shoulder_v.obj
- google_robot/assets/link_torso_00.stl
- google_robot/assets/link_torso_01.stl
- google_robot/assets/link_torso_v.obj
- google_robot/assets/link_wheel_v.obj
- google_robot/assets/link_wrist.stl
- google_robot/assets/link_wrist_v.obj
- google_robot/assets/robot_texture.png
- google_robot/robot.png
- google_robot/robot.xml
- google_robot/scene.xml
Evidence
Runtime: task_complete / task_complete
All 3 frozen cases completed against this exact adapter and source.
Reviewer: Hub finite-case Lambda execution harness | 2026-10-20
- python tools/verify_runtime_expansion.py --backend menagerie --source-cache SOURCE_CACHE --output OUTPUT
Submitter reports and hub verification remain separate. Source review does not establish task success.