Robot Astral Projection

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Robot Astral Projection, powered by Reflex AI, provides a low-latency infrastructure for robots to access datacenter-scale AI models in real time. It enables streaming observations and executing actions via a single WebSocket integration.

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Pricing

Likely Not Free

Free tier

API

Yes

Skill level

Technical

About

What is Robot Astral Projection?

Robot Astral Projection, powered by Reflex AI, offers a cutting-edge solution for integrating robots with powerful AI models. It acts as a low-latency infrastructure layer, allowing robots to stream observations and receive actions from datacenter-scale AI models in real time. The integration is simplified to three calls and a single WebSocket connection, enabling users to select models and LoRAs, stream camera observations, and execute robot actions efficiently. This system is designed to enhance robot intelligence and operational capabilities, making advanced AI accessible for various robotic applications, from factory floors to remote environments, with consistent latency regardless of network conditions.

Best used for

Ideal for robotics engineers and researchers who need to enhance robot intelligence, deploy advanced AI models to physical robots, and control them with minimal latency. Especially valuable for applications requiring real-time interaction and decision-making in diverse environments.

Common actions

control robots remotely

integrate AI with robotics

stream robot observations

execute robot actions

autonomous systemsAutomationairoboticsremote controldevelopment toolsEngineeringSimulationvirtual reality

Capabilities

Key features

Real-time observation streaming
Real-time action execution
Single WebSocket integration
Model and LoRA selection
Low-latency infrastructure

Target Audience

robotics engineersai/ml researchersautomation specialistsdevelopers

Integrations

Not yet documented

Pricing & Plans

Likely Not Free

Contact for Pricing

FAQs

What kind of robots can use Reflex's Robot Astral Projection?

Reflex is designed to serve frontier models to any robot on any network. The website demonstrates a YAM arm, but the underlying infrastructure is built to be versatile, supporting various robotic systems from factory floors to remote locations.

How does Reflex achieve low-latency communication for robots?

Reflex utilizes a low-latency infrastructure layer that gives robots real-time access to datacenter-scale AI models. This is achieved through a single WebSocket connection and optimized kernels, as shown by benchmarks against torch.compile.

What is the integration process for using Robot Astral Projection?

The integration process is streamlined to three calls and a single WebSocket. Users can define a controller class, specify models, LoRAs, cameras, and frequency, then implement observation and action methods to run their robot.

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