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Scaled Foundations

State-of-the-art robot learning technologies for engineering and continuous improvement.

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April 25th, 2024

About Scaled Foundations

Scaled Foundations provides state-of-the-art robot learning technologies that accelerate engineering and enable continuous improvement. Their robot foundation models are trained with real-world data assets, high fidelity simulation, and generative AI, providing a powerful platform to build robust robot systems. The foundation models capture the structure of the physical world and are designed to solve a wide range of AI-centric robotic tasks, including perception, state estimation, mapping, planning, and control. Scaled Foundations aims to make robots more productive, efficient, and safer through machine learning, AI, and simulation.

Who is using Scaled Foundations?

Robotics DevelopersAI DevelopersResearch ScientistsAutomation EngineersManufacturing EngineersTechnical Architects

Key Features

9 features
  • State-of-the-art robot learning technologies.
  • High fidelity simulation.
  • Generative AI.
  • Robust robot foundation models.
  • Perception
  • state estimation
  • mapping
  • planning
  • and control capabilities.

Use Cases

4 use cases
  • Engineering robotics systems.
  • Continuous improvement of robot performance.
  • Enhancing robot productivity and efficiency.
  • Increasing robot safety.
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