Over the past few decades, robotics researchers have developed a wide range of increasingly advanced robots that can autonomously complete various real-world tasks. To be successfully deployed in real ...

Robots can now turn plain language into real-world actions using a new framework that ...

Researchers from Google's Robotics team have open-sourced SayCan, a robot control method that uses a large language model (LLM) to plan a sequence of robotic actions to achieve a user-specified goal.

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Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Recent advances in language and vision models have helped make great ...

On Friday, Google DeepMind announced Robotic Transformer 2 (RT-2), a “first-of-its-kind” vision-language-action (VLA) model that uses data scraped from the Internet to enable better robotic control ...

A Chinese laboratory has reportedly demonstrated the control of a humanoid robot via space-based computing. The experiment was conducted by GuoXing Aerospace Technology and Shanghai Jiao Tong ...

AI stacks require heavy processing and high energy use. Humanoid robots run on batteries with limited power. This makes it ...

2024 is going to be a huge year for the cross-section of generative AI/large foundational models and robotics. There’s a lot of excitement swirling around the potential for various applications, ...

Our robots at home can operate simple tasks they are programmed to perform. Vacuum the floors, for example, and if the left-side sensor detects a wall, try to go around it. But traditional robotic ...

Researchers at the University of California, Berkeley, have created a versatile control system for humanoid robots to adeptly navigate a variety of terrains and obstacles. Drawing inspiration from the ...