Telekinesis SDK

Description

Telekinesis SDK is a comprehensive tool for developing production-grade Computer Vision, Robotics, and Physical AI applications. It serves as the Agentic OS for general-purpose robots, providing a unified Python library that integrates the entire Physical AI stack. This includes Vision-Language-Action models, World Models, perception, planning, and hardware interfaces.

The core of Telekinesis is the Physical AI Agent, which operates on the Code-as-Policy paradigm. This agent translates natural language instructions into executable robot programs by composing over 200 production-grade skills across perception, control, and hardware. Instead of manually engineering each robotics pipeline, developers can prompt the desired behavior, and the agent generates the necessary code.

Telekinesis SDK offers a complete robotics stack comprising five layers: Skills, Agents, Data Engine, BabyROS Middleware, and Industrial Applications. These layers work together to close the loop from building a behavior to executing it on real hardware and feeding every run back to improve subsequent iterations.

The Skills Library provides modular operations for perception, planning, control, and hardware, allowing developers to compose tested skills into pipelines. Physical AI Agents transform natural language prompts into executable robotics pipelines, while the Data Engine captures and organizes data for continuous improvement. BabyROS Middleware offers ultra-low-latency communication for distributed systems.

Telekinesis SDK is suitable for industries such as manufacturing, logistics, and home automation, offering real-world deployments and applications. It supports a wide range of robots and integrates with various hardware, making it a versatile tool for developers and engineers in the robotics field.

Telekinesis SDK's Core Features

• Unified Python skill library

• Code-as-Policy paradigm

• 200+ production-grade skills

• Physical AI Agent

• Data Engine for continuous improvement

• BabyROS Middleware for communication

• Industrial Applications support

• Vision-Language-Action models

How to use Telekinesis SDK?

1. 1

   Install: Set up the Telekinesis SDK with Python 3.11 or 3.12

2. 2

   Configure: Obtain and configure your API key from the Telekinesis Platform

3. 3

   Run: Execute the Quickstart example to see the SDK in action

4. 4

   Develop: Use the Skills Library to build and deploy robotics applications

Telekinesis SDK's Use Cases

• Manufacturing Automation
• Logistics Optimization
• Home Automation
• Quality Control
• Robotics Research

FAQ from Telekinesis SDK

• What is Telekinesis SDK?

  Telekinesis SDK is a unified Python skill library for building production-grade Computer Vision, Robotics, and Physical AI applications.

• How does Telekinesis SDK work?

  It uses a Code-as-Policy paradigm to translate natural language instructions into executable robot programs.

• What are the key components of Telekinesis SDK?

  The key components include Skills, Agents, Data Engine, BabyROS Middleware, and Industrial Applications.

• What industries can benefit from Telekinesis SDK?

  Industries such as manufacturing, logistics, and home automation can benefit from the SDK.

• What is the Physical AI Agent?

  It is a system that turns natural language prompts into executable robotics pipelines.

• What is the Data Engine?

  The Data Engine captures and organizes data for continuous improvement of Skills and Agents.

• What is BabyROS Middleware?

  It is a communication layer offering ultra-low-latency pub/sub and client/server messaging for distributed systems.

• How can I start using Telekinesis SDK?

  You can start by installing the SDK, configuring your API key, and running the Quickstart example.