Computed-torque PD control in headless procedural simulation
Computed-torque PD control in headless procedural simulation. Parameterized bounded JSON adapter; synthetic DIRECT simulation, no physical robot.
pybullet-torque-pd-skill | Record version: 1.0.0
Record JSON | Markdown recipe | Complete search index
Fetch and prepare
curl -fsSL https://hub.superfastrobotics.com/skills/pybullet-torque-pd-skill/skill.json
curl -fsSL https://hub.superfastrobotics.com/skills/pybullet-torque-pd-skill/README.md
python /PATH_TO_SKILL/scripts/rsh.py inspect pybullet-torque-pd-skill --json
python /PATH_TO_SKILL/scripts/rsh.py prepare pybullet-torque-pd-skill --project ./experiment --expected-source-commit 2c204c49e56ed15ec5fcfa71d199ab6d6570b3f5 --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
- pybullet 3.2.7
- Robot
- synthetic-seven-axis-or-procedural-scene
- Controller
- json-contract-v1
- Observation
- explicit-json-input
- OS / architecture
- linux / x86_64
- Python
- >=3.10,<3.11
Compatibility status: hub_verified
All inputs and outputs follow interface v1. Simulation adapters query exact synthetic simulator state; no perception or physical sensor compatibility.
Requirements
- x86_64 CPU; no GPU or robot required
No display. Matplotlib Agg for numerical imports; PyBullet DIRECT for simulation.
Packages: numpy==1.26.4, pybullet==3.2.7
Runtime dependency versions are pinned for the supported Python 3.10 x86_64 CPU environments and checked against execution receipts. Platform-specific wheel hashes are not represented as a universal artifact lock; prepare captures pip freeze.
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",
"conventions": {
"linear_unit": "m",
"angular_unit": "rad",
"time_unit": "s",
"coordinate_frame": "right_handed_world_xyz; +z_up; procedural_arm_base=world_origin",
"joint_order": "input_array_order",
"quaternion_order": "not_used"
},
"input_schema": {
"type": "object",
"required": [
"joint_angles",
"target_joint_angles"
],
"additionalProperties": false,
"properties": {
"joint_angles": {
"type": "array",
"minItems": 7,
"maxItems": 7,
"items": {
"type": "number",
"minimum": -3,
"maximum": 3
},
"x-unit": "rad",
"x-frame": "right_handed_world_xyz; +z_up; procedural_arm_base=world_origin",
"description": "joint_angles; units=rad; frame=right_handed_world_xyz; +z_up; procedural_arm_base=world_origin"
},
"target_joint_angles": {
"type": "array",
"minItems": 7,
"maxItems": 7,
"items": {
"type": "number",
"minimum": -1,
"maximum": 1
},
"x-unit": "rad",
"x-frame": "right_handed_world_xyz; +z_up; procedural_arm_base=world_origin",
"description": "target_joint_angles; units=rad; frame=right_handed_world_xyz; +z_up; procedural_arm_base=world_origin"
}
}
},
"output_schema": {
"type": "object",
"required": [
"joint_angles_rad",
"maximum_joint_error_rad"
],
"additionalProperties": false,
"properties": {
"joint_angles_rad": {
"type": "array",
"minItems": 7,
"maxItems": 7,
"items": {
"type": "number",
"minimum": -100,
"maximum": 100
},
"x-unit": "rad",
"x-frame": "right_handed_world_xyz; +z_up; procedural_arm_base=world_origin",
"description": "joint_angles_rad; units=rad; frame=right_handed_world_xyz; +z_up; procedural_arm_base=world_origin"
},
"maximum_joint_error_rad": {
"type": "number",
"minimum": 0,
"maximum": 100,
"x-unit": "rad",
"x-frame": "right_handed_world_xyz; +z_up; procedural_arm_base=world_origin",
"description": "maximum_joint_error_rad; units=rad; frame=right_handed_world_xyz; +z_up; procedural_arm_base=world_origin"
}
}
},
"preconditions": [
"PyBullet DIRECT CPU simulation with procedural shapes and a synthetic seven-axis arm where applicable; no downloaded models.",
"This is an adaptation of the referenced API example, not verification of its original robot model or hardware.",
"Simulation steps are fixed and bounded; force/torque order is Fx,Fy,Fz,Mx,My,Mz in the joint sensor frame."
],
"postconditions": [
"All declared checks must pass and all outputs must be finite.",
"Success applies only to this operation and model, not higher-level task completion."
],
"failure_codes": [
"invalid_input_or_environment",
"execution_failed",
"task_failed"
],
"composition": {
"depends_on": [],
"automatic_frame_conversion": false,
"automatic_hardware_execution": false
},
"output_selector": "outputs",
"origin_reference_ids": [
"pybullet-pdcontrol"
],
"origin_relationship": "adapted_from; inspect declared model and inputs, not original robot compatibility"
}
Entrypoint: python run.py
{
"argv": [
"{python}",
"{recipe_dir}/run.py",
"--source-dir",
"{source_dir}",
"--example"
],
"inputs": {
"joint_angles": [
0.1,
-0.3,
0.4,
0.2,
-0.2,
0.1,
0.1
],
"target_joint_angles": [
0.2,
-0.2,
0.3,
0.1,
-0.1,
0.2,
0
]
},
"outputs": {
"format": "single JSON object on stdout",
"payload_selector": "outputs",
"schema": {
"type": "object",
"required": [
"joint_angles_rad",
"maximum_joint_error_rad"
],
"additionalProperties": false,
"properties": {
"joint_angles_rad": {
"type": "array",
"minItems": 7,
"maxItems": 7,
"items": {
"type": "number",
"minimum": -100,
"maximum": 100
},
"x-unit": "rad",
"x-frame": "right_handed_world_xyz; +z_up; procedural_arm_base=world_origin",
"description": "joint_angles_rad; units=rad; frame=right_handed_world_xyz; +z_up; procedural_arm_base=world_origin"
},
"maximum_joint_error_rad": {
"type": "number",
"minimum": 0,
"maximum": 100,
"x-unit": "rad",
"x-frame": "right_handed_world_xyz; +z_up; procedural_arm_base=world_origin",
"description": "maximum_joint_error_rad; units=rad; frame=right_handed_world_xyz; +z_up; procedural_arm_base=world_origin"
}
}
}
}
}
Success: Exit 0, status=task_complete, success=true, finite outputs satisfying interface.output_schema and all declared numerical/model checks. This is not a physical robot or general task-success claim.
Timeout: 30 seconds. Caller must terminate the separate adapter process after 30 seconds; adapters bound iterations/scene steps and close simulation clients.
Failure modes
- Invalid or oversized JSON
- Source checksum mismatch
- Unavailable pinned dependency
- No valid path or postcondition failure
- Execution exceeding the declared bounded algorithm budget
Source and license
- Repository
- https://github.com/bulletphysics/bullet3
- Authors
- Erwin Coumans and Bullet Physics contributors
- Commit
2c204c49e56ed15ec5fcfa71d199ab6d6570b3f5- Archive SHA256
f7c486f10b9f645d0577249d02855e076e8368babaa3d31ced6095e7162baee9- License
- Zlib
- Hub commit
39b06d7a6016edcea27e348e49ffd86f29ec1811
Evidence
Runtime: task_complete / task_complete
Three frozen positive cases passed against this exact adapter; see per-case receipts. This does not estimate general accuracy.
Reviewer: Hub maintainer runtime harness | 2026-10-19
- python tools/verify_executable_recipes.py --source-cache SOURCE_CACHE --output OUTPUT --backend pybullet
Submitter reports and hub verification remain separate. Source review does not establish task success.