Your ‘Pokémon Go’ data will help train food delivery robots

by Chief Editor

From Pokémon Go to Pizza Delivery: How Your AR Data is Building the Future of Robotics

Remember the thrill of catching Pokémon in the real world? That seemingly innocent pastime is now powering a new generation of delivery robots. A recent partnership between Niantic Spatial, spun off from the creators of Pokémon Go, and Coco Robotics is leveraging the game’s vast visual data to navigate the complexities of urban environments.

The Power of 30 Billion Images

Niantic Spatial has built a remarkably precise geolocation model using over 30 billion images captured by Pokémon Go players. This allows for centimeter-level accuracy, a significant leap forward in spatial understanding. Coco Robotics, backed by Sam Altman, will integrate this technology into its fleet of 1,000 delivery robots operating in cities like Los Angeles, Chicago, and Helsinki.

Pro Tip: The key advantage? Niantic Spatial’s visual positioning system (VPS) identifies locations by sight, bypassing the limitations of GPS in dense urban canyons where buildings obstruct signals.

How Pokémon Go Data Became Robotic Fuel

The foundation for this innovation was laid with Pokémon Go’s “Field Research” feature, introduced in 2020. This incentivized players to scan real-world landmarks, unknowingly contributing to a massive database of visual data. While Niantic only announced its plans to build a navigation model from this data in 2024, the groundwork was already in place.

Beyond Delivery: The Vision of a Live, Mapped World

Coco Robotics is just the first robotics partner for Niantic Spatial. The company’s ultimate goal is far more ambitious: to create a live, continuously updated map of the entire world. As a Niantic Spatial executive explained to MIT Technology Review, the technology has found a new audience in robotics, recognizing the parallels between navigating a virtual world for Pikachu and guiding a robot through city streets.

The Rise of Spatial AI and its Implications

This partnership highlights the growing importance of spatial AI – artificial intelligence that understands and interacts with the physical world. It’s not just about robots; spatial AI has potential applications in augmented reality navigation, autonomous vehicles, and even urban planning. The ability to accurately map and understand environments is crucial for the next wave of technological advancements.

The urban canyon is the worst place in the world for GPS,” Brian McClendon, CTO at Niantic Spatial, told MIT Technology Review.

Concerns and the Future of Data Collection

The revelation that Pokémon Go data is being used for robotics has sparked some debate. Some players feel their data was used without full transparency. This underscores the need for clear communication and user consent when collecting and utilizing data, even for seemingly unrelated purposes.

FAQ

Q: What is Niantic Spatial?
A: Niantic Spatial is an AI company spun off from Niantic, the original developer of Pokémon Go.

Q: How does this partnership benefit consumers?
A: It aims to improve the efficiency and reliability of food delivery services, particularly in urban areas.

Q: Was player data collected without consent?
A: The data was collected through a feature incentivizing landmark scanning, but the specific use for robotics wasn’t announced until 2024.

Q: What is VPS?
A: VPS stands for Visual Positioning System. It allows robots to identify locations by sight, rather than relying solely on GPS.

Did you know? The challenge of getting a virtual Pikachu to move realistically is surprisingly similar to the challenge of getting a delivery robot to navigate a busy sidewalk.

What are your thoughts on the use of gaming data for real-world applications? Share your opinions in the comments below!

Explore more: Read our latest articles on artificial intelligence and the future of robotics.

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