A 30-billion-image dataset built by players over the last decade is now being used to train an AI navigation system ...

A massive databse built by players of Pokémon Go is now being used Coco Robotics to help its street delivery robots better navigate busy urban environments. View on euronews ...

How Niantic Spatial is turning a decade of 30 billion crowdsourced photos and data into the most precise urban navigation system delivery robots ever had.

What started as a simple mobile game in 2016 is now helping machines navigate cities with precision. The millions of Pokémon Go players roaming cities and other places unknowingly created ...

The early augmented reality smartphone app prompted hundreds of millions of players to wander into parks, parking lots, and even dimly lit alleyways, peering through their phone cameras in search of ...

Pokémon Go's vast player-submitted image data is now powering real-world robotics. Niantic Spatial converts these billions of ground-level images into a photorealistic street-level model, enabling ...

This ain't teleoperation. Chinese researchers have tested a new, much quicker and easier method of teaching robots to play ...

Researchers in China have developed a new system that significantly improves how humanoid robots ...

Each robot employs multiple cameras to perceive its surrounding environment, matching those visual inputs against Niantic ...

While the use of the ABS challenge system during spring training seemed to go smoothly, it does not have a unanimously positive rating among MLB players. One anonymous player told The Athletic's ...