In the past, when researchers modeled quadruped gaits — how four-legged organisms walk, run and move — gaits have been modeled with separate neural networks, according to Professor and Associate Chair ...

A four-legged robot trained with machine learning has learned to avoid falls by spontaneously switching between walking, trotting, and pronking -- a milestone for roboticists as well as biologists ...

Researchers have created a bio-inspired quadruped locomotion framework with remarkable adaptability. The novel Deep Reinforcement Learning (DRL) framework, inspired by animal locomotion, enhances ...

With the help of a form of machine learning called deep reinforcement learning (DRL), the EPFL robot notably learned to transition from trotting to pronking – a leaping, arch-backed gait used by ...