FetchReach-v4 goal-directed reach: robotics skill example

FetchReach-v4 goal-directed reach. Source-pinned, bounded simulation with explicit goal checks; no physical execution.

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

Task and environment

gymnasium-robotics | 1.4.2 | fetch | cartesian_delta_feedback | linux | 3.10

Example input

{
  "seed": 0
}

Retrieve without installation

curl -fsSL 'https://api.superfastrobotics.com/v1/skills/gymrobotics-fetchreach-v4?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

All declared goal and finite-state checks pass; exit 0 with task_complete. Native environment success flag after bounded closed-loop control; object/state coordinates are never teleported after reset.

Recorded evidence

task_complete: All 3 frozen cases completed against this exact adapter and source.

Source commit: 42eae53b2b27321d29090c219ce2f675c596de77. Record version: 1.0.0. This page performs no execution.