Tesla is ramping up hiring for its humanoid robot program, Optimus, including some reinforcement learning engineers. It was hard to take Tesla Bot seriously when Elon Musk announced it by having ...

Blueprint enables massive-scale data processing and curation, synthetic data generation, reinforcement learning and evaluation of ...

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 ...

Reinforcement learning is a subset of machine learning. It enables an agent to learn through the consequences of actions in a specific environment. It can be used to teach a robot new tricks, for ...

Reinforcement-learning algorithms in systems like ChatGPT or Google’s Gemini can work wonders, but they usually need hundreds of thousands of shots at a task before they get good at it. That’s why ...

Researchers at Xidian University in China have demonstrated a light-powered computing chip capable of running reinforcement ...

[Aditya Sripada] and [Abhishek Warrier]’s TARS3D robot came from asking what it would take to make a robot with the capabilities of TARS, the robotic character from Interstellar. We couldn’t find a ...

The next-gen robot arrives at Disneyland Paris this month, but Imagineering says it’s only the start of a future where parks are filled with walking characters.

Experienced human cyclists can perform a wide range of maneuvers and acrobatics while riding their bicycle, from balancing in ...

In curling, a sport that’s been referred to as “chess on ice” because of the strategy and precision involved, a robot named Curly beat Korean national teams in three out of four official matches.