For years, creating robots that can move, communicate, and adapt like humans has been a major goal in artificial intelligence. While significant progress has been made, developing robots capable of adapting to new environments or learning new skills has remained a complex challenge. Recent advances in large language models (LLMs) are now changing this. The […]<br /> The post The Rise of Smarter Robots: How LLMs Are Changing Embodied AI appeared first on Unite.AI. [...]
CES always has its share of attention-grabbing robots. But this year in particular seemed to be a landmark year for robotics. The advancement in AI technology has not only given robots better “brain [...]
Nvidia CEO Jensen Huang said last year that we are now entering the age of physical AI. While the company continues to offer LLMs for software use cases, Nvidia is increasingly positioning itself as a [...]
If you look at your Roomba with disgust, thinking about what a far cry it is from the Jetsons’ Rosey the Robot, help is on the way. Bloomberg reported on Friday that Meta plans to leverage its advan [...]
Since its debut at the end of last year, Gemini 2.0 has gone on to power a handful of Google products, including a new AI Mode chatbot. Now Google DeepMind is using that same technology for something [...]
It was an interesting year for robots at CES 2025. While we had hoped the AI boom would bring a new wave of useful robots to the show, it seems that many robotics companies are still figuring out exac [...]
A team of researchers led by Nvidia has released DreamDojo, a new AI system designed to teach robots how to interact with the physical world by watching tens of thousands of hours of human video — a [...]