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smolvla-so101-pick-place-pen

Automate robotic arm pick-and-place actions using SmolVLA policy.

Updated Jul 5, 2026
Search Tags:#robotics#pick-and-place#OpenRAL#robotic arm#SmolVLA
One-click install
npx skills add https://github.com/bensonlee5/openral --skill smolvla-so101-pick-place-pen
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: smolvla-so101-pick-place-pen
Source: https://github.com/bensonlee5/openral/tree/main/rskills/smolvla-so101-pick-place-pen
Command: npx skills add https://github.com/bensonlee5/openral --skill smolvla-so101-pick-place-pen

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the complex task of pick-and-place operations with a robotic arm, streamlining the process and reducing the need for manual intervention.

Core Features & Use Cases

  • Robotic Arm Control: Execute pick-and-place actions on a real-world robotic arm.
  • Vision-Language-Action Policy: Utilizes SmolVLA to interpret visual input and execute actions.
  • Use Case: For a warehouse or manufacturing environment, use this Skill to automate the retrieval and placement of objects with high precision.

Quick Start

Deploy the smolvla-so101-pick-place-pen skill to your OpenRAL system and execute the task using the provided deployment command.

Frequently Asked Questions about smolvla-so101-pick-place-pen

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

FAQPage Schema
How do I automate robotic arm pick-and-place actions using a vision-language-action model?▼

Automate robotic arm pick-and-place actions by deploying this Skill on an OpenRAL system. It uses the SmolVLA policy to process visual input and control joint positions for high-precision manipulation tasks.

Can I use SmolVLA to control a real-world robotic arm for warehouse object retrieval?▼

Yes, SmolVLA can control a real-world robotic arm for warehouse object retrieval. The Skill interprets visual input to execute precise retrieval and placement operations, reducing manual intervention.

Do I need OpenRAL to run the SmolVLA pick-and-place policy?▼

Yes, you need OpenRAL to run the SmolVLA pick-and-place policy. The Skill requires both OpenRAL and the SmolVLA model to process visual inputs and control joint positions accurately.

How does the vision-language-action policy interpret visual input for precision manipulation?▼

The vision-language-action policy interprets visual input for precision manipulation by using SmolVLA to analyze the environment and calculate the joint positions needed to execute pick-and-place actions.

What are the limitations of using SmolVLA for robotic arm pick-and-place tasks?▼

Limitations of using SmolVLA for robotic arm pick-and-place tasks include the strict dependency on OpenRAL and the SmolVLA model, which are required to process visual input and control joint positions effectively.

What is the best way to deploy a SmolVLA pick-and-place pen task on OpenRAL?▼

The best way to deploy a SmolVLA pick-and-place pen task on OpenRAL is to deploy the Skill to your OpenRAL system and execute the task using the provided deployment command.

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