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Research
Making robots intelligent, safe and accessible at scale
Paper
October 26, 2022
PACT: Perception-Action Causal Transformer For Autoregressive Robotics Pretraining
Paper
July 19, 2024
Enhancing Robotic Planning with Logically Constrained Transformers
All Blogs
September 16, 2024
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By Scaled Foundations
Introducing GRID Enterprise
A private GRID experience that is scalable, customizable, and deeply integrated into your development pipeline.
July 21, 2024
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By Scaled Foundations
Announcing GRID Beta - An Open and Free Platform for Robot Intelligence
We’re opening the waitlist for our General Robot Intelligence Development (GRID) platform. GRID is an open and free cloud-based IDE for robotics, requiring zero setup. GRID accelerates robot AI development with seamless access to foundation models, simulation and AI infrastructure.
July 19, 2024
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By Scaled Foundations
Enhancing Robotic Planning with Logically Constrained Transformers
We introduce Perception Action Signal Temporal Logic Transformer (PASTEL), a deep machine learning architecture to control robots safely.
October 18, 2023
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By Scaled Foundations
GRID: A Platform For General Robot Intelligence Development
We released a platform for creating intelligent and safe robots using foundation models, large language models, and simulation.
September 27, 2023
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By Scaled Foundations
Hello World: Launch of Scaled Foundations' Robotics AI Development Platform
The General Robot Intelligence Development (GRID) platform combines foundation models, simulation, and large language models for rapid prototyping
February 27, 2023
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By Scaled Foundations
SMART – A Generalized Pretraining Framework For Control Tasks
We are announcing SMART, a generalized pretraining framework for a wide variety of control tasks.
February 20, 2023
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By Scaled Foundations
ChatGPT For Robotics: Design Principles And Model Abilities
We extended the capabilities of ChatGPT to robotics, and controlled multiple platforms such as robot arms, drones, and home assistant robots intuitively with language.
October 26, 2022
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By Scaled Foundations
PACT: Perception-Action Causal Transformer For Autoregressive Robotics Pretraining
Recent advances in machine learning architectures have induced a paradigm shift from task-specific models towards large general-purpose networks.
September 26, 2022
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By Scaled Foundations
Data-driven Sensor Simulation for Realistic LiDARs
Simulation is playing an increasingly major role in the development of safe and robust autonomous systems, especially given the advent of deep learning techniques.
August 9, 2022
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By Scaled Foundations
Just say the magic word: using language to program robots
Language is the most intuitive way for us to express how we feel and what we want.
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