Explore how vision-language-action models like Helix, GR00T N1, and RT-1 are enabling robots to understand instructions and act autonomously.

Foundation models have made great advances in robotics, enabling the creation of vision-language-action (VLA) models that generalize to objects, scenes, and tasks beyond their training data. However, ...

An innovative algorithm called Spectral Expansion Tree Search helps autonomous robotic systems make optimal choices on the move. In 2018, Google DeepMind's AlphaZero program taught itself the games of ...

Researchers from Standford University, University of California Berkeley, Google DeepMind, Massachusetts Institute of Technology and other labs have released OpenVLA, an open-source ...

Alphabet Inc.’s artificial intelligence lab is debuting two new models focused on robotics, which will help developers train robots to respond to unfamiliar scenarios — a longstanding challenge in the ...

Microsoft has unveiled Rho-alpha, a next-generation robotics AI model designed to help machines understand the physical world, make decisions in real time, and execute complex tasks with greater ...

PITTSBURGH--(BUSINESS WIRE)--Skild AI, an AI robotics company building a scalable foundation model for robotics, today announced it has closed a $300M Series A funding round. The round was led by ...

Caltech researchers have developed a a planning and decision-making control system that helps freely moving robots determine the best movements to make as they navigate the real world. Called SETS ...