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 ...

What makes Microduck genuinely useful for developers is its open source software stack, built around what's called a ...

What if robots could learn to adapt to their surroundings as effortlessly as humans do? The rise of quadruped robots, like Boston Dynamics’ Spot, is turning this vision into reality. By integrating ...

A young UK humanoid robot startup already has order pipeline of $2.4 billion ... and a very unique plan to scale production ...

This cute little robot duck isn't actually a toy. It's actually a platform for budding roboticists to train on and develop ...

Chinese robotics player AGIBOT has open-sourced its WORLD 2026 dataset, which focuses on reinforcement ...

Hugging Face has introduced a new robot named Microduck, designed for affordability and experimentation in physical AI.

Jianlan Luo, 33, has expanded on standard techniques used in reinforcement learning to come up with new, better ways to teach robots many different tasks more quickly. He also created a system that ...

Reinforcement learning (RL) has emerged as a pivotal approach for enabling mobile robots to autonomously discover collision-free trajectories through repeated interaction with their environment. In ...

In a world of creepy humanoid robots, be a duck robot.

Hugging Face has unveiled the Microduck, a small open-source robot designed to make physical ...