{
  "schema_version": "1",
  "skill_id": "gymrobotics-fetchreach-v4",
  "recorded_at": "2026-10-20T04:28:54.643872+00:00",
  "hub_commit": "09375f440444b84e5892864e9893de8232b5ddd3",
  "adapter_sha256": "4fcd774387ba503544f5b479d92ce5ee0f2b664984042558d72d6e719232e30d",
  "source_commit": "42eae53b2b27321d29090c219ce2f675c596de77",
  "archive_sha256": "3c675a90d800b7f1a48710051f106d6c4019f06d859aa928a5cd82e8be141890",
  "case_plan_sha256": "8abefc982ba705012f2f3a2d229816ac5b7693536ec14f02279ddcc6ddb5d254",
  "source_guards_sha256": "dff032943e0667b5017b40ad1faf01223ce928644ed097e191fb8795d19c69a3",
  "environment": {
    "runtime": "gymnasium-robotics",
    "runtime_version": "1.4.2",
    "robot": "fetch",
    "controller": "cartesian_delta_feedback",
    "observation": "goal_dict",
    "os": "linux",
    "architecture": "x86_64",
    "python": "3.10"
  },
  "packages": {
    "gymnasium": "1.2.0",
    "gymnasium-robotics": "1.4.2",
    "mujoco": "3.3.7",
    "numpy": "1.26.4"
  },
  "cases": [
    {
      "exit_code": 0,
      "result": {
        "schema_version": "1",
        "skill_id": "gymrobotics-fetchreach-v4",
        "status": "task_complete",
        "success": true,
        "outputs": {
          "achieved_goal": [
            1.3828460802480798,
            0.6800400120594439,
            0.4194958061738075
          ],
          "desired_goal": [
            1.3829235239801951,
            0.6800370509280682,
            0.3970160080481384
          ],
          "error_m": 0.0224799317185524,
          "steps": 100,
          "environment_success": true
        },
        "checks": {
          "environment_goal": true,
          "finite_state": true,
          "bounded_steps": true
        },
        "execution_domain": "simulation",
        "source_commit": "42eae53b2b27321d29090c219ce2f675c596de77",
        "interface_version": "1",
        "hardware_execution": false
      },
      "elapsed_seconds": 0.737,
      "stderr_tail": "AdroitHandRelocateDense-v1, AdroitHandHammerDense-v1, AdroitHandDoorDense-v1 environment's reward functions were updated in v1.2.1 without an environment version update. Therefore, use gymnasium-robotics==1.2.0 for v1 reproducibility or use v2 in gymnasium-robotics>=1.4.3. See https://github.com/Farama-Foundation/Gymnasium-Robotics/pull/220 for more details\n",
      "input": {
        "seed": 0
      },
      "passed": true
    },
    {
      "exit_code": 0,
      "result": {
        "schema_version": "1",
        "skill_id": "gymrobotics-fetchreach-v4",
        "status": "task_complete",
        "success": true,
        "outputs": {
          "achieved_goal": [
            1.3454684771343561,
            0.8842593963082684,
            0.4272226028033343
          ],
          "desired_goal": [
            1.3453815051938358,
            0.8842401456966877,
            0.4279718346831701
          ],
          "error_m": 0.0007545085249660442,
          "steps": 100,
          "environment_success": true
        },
        "checks": {
          "environment_goal": true,
          "finite_state": true,
          "bounded_steps": true
        },
        "execution_domain": "simulation",
        "source_commit": "42eae53b2b27321d29090c219ce2f675c596de77",
        "interface_version": "1",
        "hardware_execution": false
      },
      "elapsed_seconds": 0.698,
      "stderr_tail": "AdroitHandRelocateDense-v1, AdroitHandHammerDense-v1, AdroitHandDoorDense-v1 environment's reward functions were updated in v1.2.1 without an environment version update. Therefore, use gymnasium-robotics==1.2.0 for v1 reproducibility or use v2 in gymnasium-robotics>=1.4.3. See https://github.com/Farama-Foundation/Gymnasium-Robotics/pull/220 for more details\n",
      "input": {
        "seed": 1
      },
      "passed": true
    },
    {
      "exit_code": 0,
      "result": {
        "schema_version": "1",
        "skill_id": "gymrobotics-fetchreach-v4",
        "status": "task_complete",
        "success": true,
        "outputs": {
          "achieved_goal": [
            1.2703780297946452,
            0.6886425408203618,
            0.6282669770928069
          ],
          "desired_goal": [
            1.2703186580585537,
            0.6886483798231442,
            0.628991673045564
          ],
          "error_m": 0.0007271473859834759,
          "steps": 100,
          "environment_success": true
        },
        "checks": {
          "environment_goal": true,
          "finite_state": true,
          "bounded_steps": true
        },
        "execution_domain": "simulation",
        "source_commit": "42eae53b2b27321d29090c219ce2f675c596de77",
        "interface_version": "1",
        "hardware_execution": false
      },
      "elapsed_seconds": 0.706,
      "stderr_tail": "AdroitHandRelocateDense-v1, AdroitHandHammerDense-v1, AdroitHandDoorDense-v1 environment's reward functions were updated in v1.2.1 without an environment version update. Therefore, use gymnasium-robotics==1.2.0 for v1 reproducibility or use v2 in gymnasium-robotics>=1.4.3. See https://github.com/Farama-Foundation/Gymnasium-Robotics/pull/220 for more details\n",
      "input": {
        "seed": 2
      },
      "passed": true
    }
  ],
  "passed": 3,
  "failed": 0,
  "negative_unknown_field_rejected": true,
  "negative_source_drift_rejected": true,
  "hardware_execution": false,
  "scope": "Authored bounded simulation cases; not general accuracy or physical compatibility."
}