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.

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 ...

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

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 ...

A decade ago, the “next big thing” in technology was the invention of mobile applications and cloud computing. Today, it is easy to feel whiplash. AI is everywhere, robotics is moving from demos to ...