# Panda Cartesian reaching: robotics skill example

Panda Cartesian reaching. Source-pinned, bounded simulation with explicit goal checks; no physical execution.

## Task and environment

robosuite | 1.5.2 | Panda | OSC_POSE | linux | 3.10

## Example input

```json
{
  "seed": 0,
  "offset_xyz_m": [
    0.05,
    0.02,
    0.04
  ]
}
```

## Retrieve and prepare

Read https://hub.superfastrobotics.com/skills/robosuite-panda-reach/skill.json or https://api.superfastrobotics.com/v1/skills/robosuite-panda-reach?hub_commit=ede75c00118e9808e5099da43c26f4619cc3bc37&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/ARISE-Initiative/robosuite at 824ac14cefcfb7ec125fe5eb2e0bad7364466154. Record version: 1.0.0.

## Success condition

All declared goal and finite-state checks pass; exit 0 with task_complete. Operational-space feedback; end-effector error <0.015 m with actual motion.

## 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.