It’s fairly easy for people to learn from other people – we’ve been doing it for around 300,000 years – because we can observe, copy, and modify what they’re doing. It’s less easy for us to learn from ...

Most robot headlines follow a familiar script: a machine masters one narrow trick in a controlled lab, then comes the bold promise that everything is about to change. I usually tune those stories out.

Continual robot learning is an emerging interdisciplinary field that integrates advances from machine learning, robotics, and cognitive science to build ...

AI advances are rapidly speeding up the process of training robots, and helping them do new tasks almost instantly. Agility, Amazon, Covariant, Robust, Toyota Research Institute Now Generative AI is ...

Reinforcement learning (RL) for robotics is often associated with large GPU clusters, distributed infrastructure, and x86-based development environments. Training a humanoid robot with high-fidelity ...

Inside the robotics laboratory of the Toyota Research Institute (TRI) in Cambridge, Massachusetts, a group of robots are busy cooking. There is nothing special about that; robotic chefs have been ...

The latest boom in robotics represents a revolution in the way machines have learned to interact with the world. Roboticists used to dream big but build small. They’d hope to match or exceed the ...

Robotics combines computer science, engineering, and technology to design, construct, and utilize machines that are programmed to replicate or substitute human actions and decision-making. These ...