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.

Wilton teams shine at the FIRST Lego League Robotics State Championships. Allied Algorithms won the championship and Singularity Technology Juniors earning the Motivate Award.

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 ...

FANUC, leading global provider of factory robots and automation systems, has formally partnered with NVIDIA to bring ‘physical AI’ into mainstream manufacturing in a move set to shape the next ...

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 ...

For autonomous mobile robots to operate effectively in human environments, navigation must extend beyond obstacle avoidance to incorporate social awareness. Safe and fluid interaction in shared spaces ...