smolvla-vlabench
CommunityAutomate robotic manipulation tasks with Vision-Language-Action policies.
Authorbensonlee5
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides a Vision-Language-Action policy that automates robotic manipulation tasks, enabling precise actions like picking, placing, and grasping objects on a tabletop.
Core Features & Use Cases
- Vision-Language-Action (VLA) Policies: Utilizes VLA policies for understanding natural language descriptions and performing robotic tasks.
- Embodied on Franka Panda: Specifically designed to work with the Franka Panda robotic arm.
- VLABench Integration: Integrated with the VLABench robotic manipulation benchmark for testing and validation.
- Use Case: Imagine you have a robot that needs to pick up a fruit from a table, place it into a bowl, and then grasp an object. Use this Skill to program the robot's actions using natural language descriptions.
Quick Start
Run the following command to execute the policy: openral benchmark scene --config scenes/benchmark/vlabench_select_fruit.yaml --rskill rskills/smolvla-vlabench
Dependency Matrix
Required Modules
pytorchopenral
Components
scriptsreferences
💻 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-vlabench Download link: https://github.com/bensonlee5/openral/archive/main.zip#smolvla-vlabench Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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