Over the past decades, roboticists have introduced a wide range of advanced systems that can move around in their ...

Intrinsic motivation, a concept drawn from behavioural science, has gained significant traction in robotic research as a means to stimulate exploratory behaviour in the absence of explicit external ...

Embodied learning for object-centric robotic manipulation is a rapidly developing and challenging area in embodied AI. It is ...

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 ...

A new meta-learning framework inspired by how babies explore the world could help robots adapt faster, handle objects safely, and interact more naturally with humans.

Thermal sensors and synthetic data can help train robots for a wider range of scenarios than traditional sensors alone, says Bifrost AI.

A robot observes its reflection in a mirror, learning its own morphology and kinematics for autonomous self-simulation. The process highlights the intersection of vision-based learning and robotics, ...

Robots are super interesting, but you probably shouldn’t start learning about them with a full-sized industrial SCARA arm or anything. Better to learn with something smaller and simpler to understand.

Reinforcement learning (RL) is transforming the way robots interact with the world. Unlike traditional programming or supervised learning, which depend on pre-defined ...

Discover the latest breakthroughs in robotic tactile sensing and how they are transforming the capabilities of humanoid ...