OLogic CEO Ted Larson will explore the foundations of egocentric robot learning and the technical challenges involved in ...

Humanoid robots, robotic systems with body shapes and limbs resembling those of humans, could potentially assist people with ...

Humans are difficult to simulate. We are quick, complex thinkers, and our exact actions aren't predictable. So how can we ...

A robot, trained for the first time by watching videos of seasoned surgeons, executed the same surgical procedures as skillfully as the human doctors. The successful use of imitation learning to train ...

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 ...

China is hosting the 2026 World Humanoid Robot Games in Beijing, where more than 2,000 robots from 16 countries are competing.

Robotic learning and human–robot interaction (HRI) encompass methods by which machines acquire new skills and collaborate effectively with people. Central to this endeavour are adaptive algorithms ...

Fig. 1(a) illustrates a typical robotic manipulation system. It features a robotic arm equipped with sensors like cameras and end-effectors such as grippers, enabling it to manipulate a wide range of ...

Atlas, the humanoid robot famous for its parkour and dance routines, has recently begun demonstrating something altogether more subtle but also a lot more significant: It has learned to both walk and ...

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.

The article highlights why hands-on, multidisciplinary robotics education must begin in schools and expand beyond metros to ...