RoboActions: Simplifying Physical AI Development

RoboActions is a powerful platform designed to streamline the development, deployment, and scaling of physical AI applications using open-source Vision-Language-Action (VLA) and Reinforcement Learning (RL) models. Built for robot tinkerers and developers, it enables users to run inference on Hugging Face models with minimal setup, offering a unified SDK for seamless integration into Python applications. With capabilities like instant inference, cloud-based simulation, and one-click deployment, RoboActions empowers individuals and teams to rapidly prototype and productionize AI-driven robotics solutions.

Key Features:

• Deploy Policies: Deploy Hugging Face VLA models (like π_0.5, SmolVLA, Gr00T) for inference on CPU or GPU with a single click.
• Instant Inference: Run low-latency, high-throughput inference directly from Python using the RoboActions SDK.
• Simulate Environments: Run Gym-compatible robotics simulations in the cloud, from SO-100 to Pi0.5.
• Python SDK: A comprehensive client library for VLA policy inference, including RemotePolicy and RemoteEnv.
• Cloud Simulation: Integrate robotics testing into CI/CD pipelines for automated evaluation.
• One-Click Deployment: Quickly deploy policies with optional metadata (display name, tags) and compute type selection.

Pricing: RoboActions offers a free tier for basic use, with a paid subscription model for advanced features and higher compute resources. A trial is available for new users to explore the platform.

Conclusion: RoboActions is an essential tool for developers and researchers in robotics, providing a robust, easy-to-use infrastructure to build and scale physical AI applications with open-source models, making cutting-edge robotics more accessible than ever.