Panda Gym Slide closed-loop starting policy: robotics skill example

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

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

Task and environment

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

Example input

{
  "seed": 0
}

Retrieve without installation

curl -fsSL 'https://api.superfastrobotics.com/v1/skills/pandagym-panda-slide?hub_commit=ede75c00118e9808e5099da43c26f4619cc3bc37&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 task success plus final Euclidean goal error <.04 m. Airborne pick/place goals retain the grasp; ground goals are released.

Recorded evidence

import_verified: 0/3 frozen cases completed; retained failures are not promoted.

Source commit: 14d944120037a5bb637e629965f88bb9e13dba3b. Record version: 1.0.0. This page performs no execution.