Boston Dynamics’ Atlas is testing warehouse work at Hyundai’s Georgia plant, showing how fast humanoid robots are moving from demos to factories.

FANUC has partnered with NVIDIA to bring ‘physical AI’ into mainstream manufacturing in a move that it believes will shape the next generation of smart factories.

While it's not ready to join the workforce yet, Atlas, an AI-powered humanoid, is learning how to do human tasks.

Engineers and computer scientists are developing AI-powered robots that look and act human. Boston Dynamics invited 60 ...

The partnership with Nvidia brings Fanuc deeper into the world of physical AI, where machines are capable of making ...

Overview: The lesser-known Python libraries, such as Rich, Typer, and Polars, solve practical problems like speed, clarity, ...

Overview:  Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...

Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.

Abstract: Reliable gas dispersion simulation is essential for training autonomous mobile robots to perform gas distribution mapping (GDM) using reinforcement learning (RL), but traditional ...

Abstract: This paper contributes the Aerial Gym Simulator, a highly parallelized, modular framework for simulation and rendering of arbitrary multirotor platforms based on NVIDIA Isaac Gym. Aerial Gym ...

The Chinese government is betting that robots will drive economic growth. But the bots can’t really do much yet. By Meaghan Tobin and Xinyun Wu Reporting from Taipei, Taiwan Robots made by Chinese ...