Joint position control in headless procedural simulation: robotics skill example

Joint position control in headless procedural simulation. Parameterized bounded JSON adapter; synthetic DIRECT simulation, no physical robot.

Markdown | JSON example and evidence | Canonical contract | All examples

Task and environment

pybullet | 3.2.7 | synthetic-seven-axis-or-procedural-scene | json-contract-v1 | linux | 3.10

Example input

{
  "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
  ]
}

Retrieve without installation

curl -fsSL 'https://api.superfastrobotics.com/v1/skills/pybullet-position-control-skill?hub_commit=ce1d44c01f1a9f707f055da0888068fe32390e62&record_version=1.0.0&include=experience'

Inspect source, license, environment and execution evidence before preparing. Preparation and execution are separate actions.

Success condition

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.

Recorded evidence

task_complete: Three frozen positive cases passed against this exact adapter; see per-case receipts. This does not estimate general accuracy.

Source commit: 2c204c49e56ed15ec5fcfa71d199ab6d6570b3f5. Record version: 1.0.0. This page performs no execution.