Advancements in large language models, robotics, and software such as text-to-speech, have made it possible to develop robots that can understand language, interact physically, and communicate ...

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 ...

Physical robots could enable embodied interaction, contributing to more immersive learning environments. Embodied interactions help promote emotional connection, sustain attention, and support ...

For robots to move beyond warehouses and into homes, they’ll need to navigate using more than just vision. Most AI-powered robots today use cameras to understand their surroundings and learn new tasks ...

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 ...