When it comes to training robots to perform agile, single-task motor skills, such as handstands or backflips, artificial intelligence methods can be very useful. But if you want to train your robot to ...

A new demonstration video from Flexion Robotics shows its new “brain” powering an humanoid robot to navigate outdoor terrain ...

The true environment in which the agent will ultimately operate is “hidden” in this set. This means the agent must learn a ...

For that reason, the hardest and perhaps the most promising work of deep learning may lie in the realm of robotics, where the real world introduces constraints that cannot be fully anticipated. That ...

Boasting a sophisticated design tailored for versatile mobility, Cassie demonstrates remarkable agility as it effortlessly navigates quarter-mile runs and performs impressive long jumps without ...

Reinforcement learning is a subset of machine learning where the machine is scored on their performance (“evaluation function”). Over the course of a training session, behavior that improved final ...

A Unitree G1, nicknamed “Little Potato”, has landed a clean three-step layup, a notable leap in humanoid robot athleticism.