gr00t-n17-libero

Automate Franka Panda robot tasks with NVIDIA GR00T N1.7 VLA policy.

Updated Jul 5, 2026
One-click install
npx skills add https://github.com/bensonlee5/openral --skill gr00t-n17-libero
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gr00t-n17-libero
Source: https://github.com/bensonlee5/openral/tree/main/rskills/gr00t-n17-libero
Command: npx skills add https://github.com/bensonlee5/openral --skill gr00t-n17-libero

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires openral, lerobot, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates complex robot tasks using NVIDIA GR00T N1.7, enabling precise control for tasks like picking, placing, and manipulating objects.

Core Features & Use Cases

  • Vision-Language-Action (VLA) Policy: Integrates vision, language, and action for robot control.
  • Franka Panda Support: Optimized for the Franka Panda robot.
  • LIBERO Benchmark Finetuned: Trained on the LIBERO benchmark for robust performance.
  • In-Process Execution: Runs in-process with lerobot 0.6.0's native GrootPolicy.

Quick Start

Install the skill using openral rskill install OpenRAL/rskill-gr00t-n17-libero.

Frequently Asked Questions about gr00t-n17-libero

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate robot tasks using a VLA policy with NVIDIA GR00T?

You can automate robot tasks using a Vision-Language-Action (VLA) policy with NVIDIA GR00T N1.7 by executing it in-process via lerobot to enable precise object picking and placing.

Does the GR00T N1.7 VLA policy support the Franka Panda robot?

Yes, the GR00T N1.7 VLA policy is specifically optimized for the Franka Panda robot to ensure precise control and robust performance during automated manipulation tasks.

What is needed to run GR00T N1.7 for OpenRAL task automation?

To run GR00T N1.7 for OpenRAL task automation, you need the OpenRAL framework, lerobot 0.6.0's native GrootPolicy for in-process execution, and a Franka Panda robot.

How does the LIBERO benchmark improve GR00T robot automation?

The LIBERO benchmark improves GR00T robot automation by providing finetuning data that ensures robust performance for complex vision-language-action control tasks.

Can I use lerobot for in-process execution of GR00T N1.7 policies?

Yes, you can use lerobot 0.6.0's native GrootPolicy for in-process execution of GR00T N1.7 policies to automate Franka Panda manipulation tasks.

What limitations exist when automating Franka Panda with OpenRAL and GR00T?

Automating Franka Panda with OpenRAL and GR00T is limited by its dependency on the OpenRAL framework, lerobot 0.6.0, and specific training on the LIBERO benchmark.