Niantic partners with Coco Robotics to enhance urban delivery systems

EUROPE MORNING BRIEFING This morning, Niantic Spatial announces a partnership with Coco Robotics to enhance urban robot deliveries across Europe by using advanced spatial mapping technology. The collaboration aims to improve navigation accuracy in complex city environments.

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Niantic partners with Coco Robotics to enhance urban delivery systems

Niantic partners with Coco Robotics to enhance urban delivery systems

Partnership Announcement
Niantic announced a partnership with Coco Robotics to deploy its spatial AI technology and Visual Positioning System in urban robot delivery platforms.
Market Evolution
Niantic’s partnership with Coco Robotics enhances urban delivery efficiency, marking a significant shift towards real-world applications of its spatial AI technology beyond gaming.
Current update
Niantic announced in early March its partnership with Coco Robotics to enhance urban delivery robots using its spatial AI technology and Visual Positioning System (VPS).

Key developments

Niantic confirmed that its Visual Positioning System (VPS) utilises images collected from Pokémon GO players to develop advanced 3D maps for various applications, including improving delivery systems.

In a new partnership with Coco Robotics, Niantic’s spatial AI technology will enhance urban delivery robots, allowing them to navigate complex environments more accurately, improving efficiency in cities.

Players of Pokémon GO contribute data to help build the VPS when they choose to scan landmarks, with explicit consent required when reaching level 20 in the game.

Fact check: Are Pokémon GO players unwittingly helping to train AI?

Following its launch in 2016, Pokémon Go quickly became a phenomenon in Europe and around the world, turning streets of Brussels, Paris and Rome into augmented reality playgrounds where players could hunt virtual creatures such as Pikachu, Dragonite or Eevee.

The app is still popular today (with more than 100 million players in 2024, according to Scopely, parent company of game developer Niantic), generating headlines and, in some instances, dubious claims online.

According to MIT Technology Review, Niantic Spatial, which spun out of Niantic in 2025 after its games division was sold to Scopely, has used images collected through gameplay to help train its systems, which are designed to build detailed 3D maps of real-world environments.

However, the use of this data was not entirely carried out without players’ knowledge, nor was it simply gathered as they wandered the streets in search of rare Pokémon.

Does the game ask for consent to help build its AR world?

Crucially, this feature is not available to all players from the outset. It is unlocked only once users reach level 20 in the game. This means images are not automatically captured in the background as players move around. Instead, users must actively choose to engage with the feature.

Niantic told EU News’ fact-checking team, The Cube, that players needed to choose to submit scans and videos of public locations anonymously to help improve its Niantic Spatial Visual Positioning System (VPS). The company maintains that participation is entirely optional, requiring users to deliberately select and scan specific landmarks, such as statues or notable features.

The Cube tested the game and found that when a smartphone camera is pointed at a statue in Brussels’ Parc du Cinquantenaire, a message appears stating that users will contribute to the development of augmented reality mapping technology and that their data will be shared with a third-party service.

The message adds that the data collected is used to create 3D models of real-world locations and to support the development of the technology and related services.

A 3D digital model of the world

MIT Technology Review has reported that Niantic Spatial is actively using images collected from Pokémon GO players to develop its latest products. The company told The Cube that it has trained more than 50 million neural networks to date, based on around 30 billion images.

Niantic has developed a Visual Positioning System (VPS), which it says can deliver “precise, vision-based positioning and orientation anywhere in the world, including places where GPS is unavailable or unreliable.”

The technology has effectively allowed the company to build a highly detailed 3D model of the real world.

However, Niantic Spatial does not rely solely on augmented reality data from Pokémon GO. The company also states on its website that it incorporates spatial data from other sources, including robots, drones, and satellites.

From Pokémon GO to real-world applications

In early March, Niantic announced a partnership with Coco Robotics, an urban robot delivery platform, to deploy its spatial AI technology and VPS at scale.

Coco Robotics operates robots capable of delivering fresh groceries, electronics, and hot meals in cities including Los Angeles, Chicago, Jersey City, Miami, and Helsinki. Since 2018, the company has partnered with DashMart, an online delivery platform.

The company has now introduced a new generation of more robust delivery robots designed to withstand the challenges of urban streets. However, these robots have historically relied on GPS, which often provides limited accuracy in dense city environments.

This is where Niantic Spatial’s technology comes in. The collaboration aims to integrate Niantic’s spatial mapping and VPS into autonomous delivery robots, enabling them to navigate complex urban landscapes more effectively.

By leveraging detailed 3D maps and vision-based positioning, the robots can move with greater precision through city streets when delivering items directly to customers.

Responses

    Sarah Mitchell·

    Great article! This really puts things into perspective. I appreciate the thorough research and balanced viewpoint.

    James Anderson·

    Interesting read, though I think there are some points that could have been explored further. Would love to see a follow-up on this topic.

    Emma Thompson·

    Thanks for sharing this! I had no idea about some of these details. Definitely bookmarking this for future reference.

    Michael Chen·

    Well written and informative. The examples provided really help illustrate the main points effectively.

    Olivia Rodriguez·

    This is exactly what I was looking for! Clear, concise, and very helpful. Keep up the excellent work!

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