# Panda Gym Reach closed-loop starting policy: robotics skill example

Panda Gym Reach closed-loop starting policy. Native IK actions, privileged simulator observations and a frozen three-seed evaluation; no state teleportation after reset.

## Task and environment

panda-gym | 3.0.7 | franka-panda | native_pybullet_ik_cartesian_feedback | linux | 3.10

## Example input

```json
{
  "seed": 0
}
```

## Retrieve and prepare

Read https://hub.superfastrobotics.com/skills/pandagym-panda-reach/skill.json or https://api.superfastrobotics.com/v1/skills/pandagym-panda-reach?hub_commit=d800c48cfd84f618a5c6ab84f8f7feec74ab0b56&record_version=1.0.0&include=experience without installing a client. Inspect the license, exact environment and evidence before preparation. Preparation and execution remain separate.

Source: https://github.com/qgallouedec/panda-gym at 14d944120037a5bb637e629965f88bb9e13dba3b. Record version: 1.0.0.

## Success condition

All declared goal and finite-state checks pass; exit 0 with task_complete. Native task success plus final Euclidean goal error <.04 m. Airborne pick/place goals retain the grasp; ground goals are released.

## Recorded evidence

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

This page is a data-only example and performs no execution.