molmoact2-so101-nf4

Name: molmoact2-so101-nf4
Availability: InStock
Author: Benson

Automate tabletop manipulation tasks for SO-100 and SO-101 follower arms.

Updated Jul 5, 2026

Search Tags:#robotics #MolmoAct2 #tabletop manipulation #SO-100 #SO-101

Ready to run

npx skills add https://github.com/bensonlee5/openral --skill molmoact2-so101-nf4

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: molmoact2-so101-nf4
Source: https://github.com/bensonlee5/openral/tree/main/rskills/molmoact2-so101-nf4
Command: npx skills add https://github.com/bensonlee5/openral --skill molmoact2-so101-nf4

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Automates tabletop manipulation tasks like picking, placing, and grasping with the SO-100/101 follower arms.

Core Features & Use Cases

Tabletop Manipulation: Pick, place, and manipulate objects on a tabletop.
Robots: Supports SO-100 and SO-101 follower arms.
Use Case: Simplify complex tasks for robotics researchers and developers, allowing them to focus on the application and not the manipulation implementation.

Quick Start

Use the molmoact2-so101-nf4 skill with the SO-101 box scene to execute actions on the robot.

Frequently Asked Questions about molmoact2-so101-nf4

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

FAQPage Schema

How do I automate tabletop manipulation tasks with SO-100 and SO-101 follower arms?▼

Automate tabletop manipulation tasks for SO-100 and SO-101 follower arms by leveraging MolmoAct2's vision-language-action policy to generate continuous joint-position actions for arm movements.

What is MolmoAct2's vision-language-action policy for robotic arm movements?▼

MolmoAct2's vision-language-action policy is a continuous joint-position action mechanism that drives robotic arm movements, specifically designed to automate tabletop manipulation tasks like picking and placing objects.

Do I need OpenRAL to use the MolmoAct2 action policy on SO-101 arms?▼

Yes, you need OpenRAL integration for model loading and execution when using the MolmoAct2 action policy to automate manipulative tasks on SO-100 and SO-101 follower arms.

Can I use this approach for picking and placing objects on a tabletop?▼

Yes, you can use this approach to execute tabletop manipulation tasks such as picking, placing, and grasping objects directly with the SO-100 and SO-101 follower arms.

Does this Skill support both SO-100 and SO-101 robotic arms?▼

Yes, the Skill supports both SO-100 and SO-101 follower arms, providing a continuous joint-position action policy to automate manipulative tasks across both robotic platforms.

Are there limitations when using NF4 quantization for robotic manipulation actions?▼

The NF4 implementation provides efficient manipulation actions for SO-100 and SO-101 arms, though researchers must ensure proper OpenRAL integration for model loading and execution within their tabletop environments.