smolvla-libero
CommunityEfficient Vision-Language-Action policy for robotic manipulation tasks.
Authorbensonlee5
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides an efficient Vision-Language-Action policy for robotic manipulation tasks, enabling robots to perform tasks like picking up objects, placing them, and manipulating them in a controlled manner.
Core Features & Use Cases
- Vision-Language-Action: Combines vision, language, and action to enable robots to understand and execute tasks described in natural language.
- SmolVLA Model: Utilizes the SmolVLA model, which is finetuned on the LIBERO task suite for efficient performance.
- Embodiment Support: Supports various robot embodiments, including Franka Panda, SO-100 follower arm, and any 6-7 DOF manipulator.
- Use Case: Imagine you have a robot equipped with a camera and a gripper. Use this Skill to instruct the robot to pick up a red cube from a table and place it in a drawer using natural language commands.
Quick Start
Use the rskill-smolvla-libero skill to perform a task on the Franka Panda robot.
Dependency Matrix
Required Modules
openralpytorchhuggingface_hub
Components
scriptsreferencesassets
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: smolvla-libero Download link: https://github.com/bensonlee5/openral/archive/main.zip#smolvla-libero Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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