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Ouster Announces Collaboration With FieldAI To Improve How General-Purpose Robots Perceive And Navigate Complex Environments Using Ouster's REV8 Native Color Lidar

Benzinga·06/02/2026 10:04:50
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FieldAI's universal robot "brain" works across radically different robot types, tasks, and environments. Robots can be introduced to a new site like a new employee, with no prior information, pre-planned routes, supporting infrastructure, or environmental modification required. The novel architecture of Field Foundation Models™ unlocks unstructured settings where most of the world's physical work takes place. These environments are otherwise too complex and unpredictable for robots.

"FieldAI is at the forefront of deploying general-purpose robots in unstructured settings where work is often dangerous and difficult for humans," said Cyrille Jacquemet, Chief Revenue Officer at Ouster. "Their new class of foundation models offers the reliability and adaptability required for autonomous robotics deployment at scale. We are thrilled to collaborate on leveraging our new Rev8 digital lidar to power the next generation of industrial autonomy."

FieldAI already utilizes Ouster's digital lidar to enable robots to navigate complex, unmapped, and GPS-denied environments. As FieldAI expands deployments with large industrial customers, it is looking to Ouster Rev8's advanced sensing capabilities and robust design to help meet the rigorous demands of safety-critical industries. By integrating these capabilities in its products, FieldAI intends to deliver enhanced safety and interpretability for enterprise customers as it scales its footprint across construction, mining, energy, manufacturing, security, and government.

"Scaling autonomous systems in demanding real-world conditions starts with advanced sensor technology," said Andrew Mullen, Head of Hardware at FieldAI. "Ouster Rev8's ruggedness, performance, and native color are helping FieldAI deliver next-generation physical AI solutions for industrial customers where it matters most, in the field."

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