Reliable Localization Everywhere Your Robots Operate
AI-driven spatial intelligence for resilient, global-scale localization across any environment.
Tackle the fundamental challenges that limit real-world deployment
Niantic Spatial's Visual Positioning System (VPS) uses camera-based visual localization against a persistent, high-fidelity 3D map, integrating with your existing maps and sensor suite to deliver adaptive 3DOF (GPS and orientation) and 6DOF (full spatial position and orientation) localization — indoors, outdoors, and everywhere GPS falls short.
Niantic Spatial Partners with Coco Robotics to Accelerate the Future of Autonomous Delivery
Niantic Spatial will be a core infrastructure partner for Coco, deploying spatial AI and its Visual Positioning System (VPS) to further enhance the company’s advanced robot delivery fleet.
What Sets Our Visual Positioning System Apart
Reliability: Performs consistently in complex spaces where GPS is degraded.
Resilience: Maintains robustness across varied lighting, weather, and environmental conditions, adapting to long-term changes and filtering dynamic activity like people, vehicles, and moving objects.
Accuracy: Provides absolute, global localization to correct drift accumulated by internal tracking and SLAM systems.
Scalability: Instantly deployable with increasing global coverage, enabling rapid expansion across sites and robot form factors without per-site mapping overhead.
Adaptive Precision: Delivers better-than-GPS accuracy right out of the box, with the ability to ingest other sources of camera data – including your own fleet’s – for high-fidelity precision in your highest-stakes operating environments.
Building the Spatial Infrastructure for General-Purpose Robotics
By Kit Gilbert, Head of Strategic Partnerships
Robots have long been part of industrial settings, but they've traditionally been narrow, task-specific systems. What's shifting now is their scope, driven by advances in hardware and AI foundation models, the goal is to build robots that can operate flexibly in complex, human-scale environments, not just repeat fixed tasks. A key unsolved challenge standing in the way is navigation in those human environments.