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Robots Get a 'Brain' That Lets Them Navigate Without Maps

Роботи отримали нову технологію, що дозволяє їм орієнтуватись у просторі без використання карт. Photo: НВ — Техно

Ouster and FieldAI Join Forces

U.S. lidar specialist Ouster has integrated its sensor technology with FieldAI's artificial intelligence platform to give robots smarter navigation in complex environments. By combining the color digital lidar Rev8 with Field Foundation Models, machines can now operate without pre-loaded maps—dramatically simplifying how they adapt to unfamiliar surroundings on their own.

Ouster, known for its lidar systems, teamed up with FieldAI to help robots find their way through unpredictable and difficult terrain. The core of this partnership is the Rev8, which builds a 3D picture using laser pulses, paired with FieldAI's AI platform. This setup allows robots to start working in new locations immediately, as they can independently assess and adjust to unknown environments.

Why Rev8 Stands Out

Rev8 is especially valuable in places without GPS signals, such as indoor facilities and underground sites. It is designed to keep various types of robots running smoothly even under harsh conditions—including dust, vibrations, bad weather, and heavy machinery. FieldAI claims to have created a universal brain for robots, enabling them to tackle tasks in environments once considered impossible for automated systems.

'Scaling autonomous systems in tough real-world conditions starts with cutting-edge sensor technology.' - Andrew Mullen, Head of Hardware at FieldAI

The Ouster-FieldAI collaboration is expected to accelerate the adoption of robotics across several industries, including:

  • construction
  • mining
  • energy
  • manufacturing
  • security
  • government sector

FieldAI already relies on Ouster's lidar systems for robot navigation, highlighting how effective this partnership is in advancing autonomous technology.

This integration of hardware and AI could reshape automation in sectors where traditional solutions fall short. By boosting robot autonomy in GPS-denied areas, it opens up new uses in complex and hazardous environments—potentially lowering risks for human workers and improving operational efficiency.

As robotics technology continues to evolve, innovations in sensor systems are paving the way for new capabilities. For instance, a recent development from MIT allows smartphones to utilize LiDAR sensors to perceive their surroundings in unprecedented ways, such as seeing through walls. This advancement complements the work of Ouster and FieldAI, demonstrating the growing intersection of AI and sensor technology in enhancing navigation and functionality in complex environments.