Caterpillar Inc. has entered a collaboration with robotics startup FieldAI to bring physical AI, autonomy and robotics to construction, mining and manufacturing sites, the companies announced. The partnership pairs Caterpillar’s decades of jobsite and equipment data with FieldAI’s robot-agnostic autonomy platform, aiming to help industrial operators address labor shortages and rising productivity demands.
Combining Operational Data With Robot-Agnostic Autonomy
The collaboration, announced September 2, 2026, combines Caterpillar’s engineering expertise and operational data with FieldAI’s AI-enabled robot foundation models, which are designed to process large volumes of jobsite and operational data and turn real-time observations into actionable insight. FieldAI says its foundation models are already deployed across hundreds of sites worldwide and are built to operate in the kind of complex, dynamic industrial environments where conventional automation has historically struggled. The work also incorporates NVIDIA accelerated computing and Omniverse digital-twin technology, allowing the companies to build virtual representations of jobsites and manufacturing facilities for testing and validation before deployment.
Early Applications Target Inspection and Situational Awareness
The companies identified autonomous inspections, enhanced situational awareness, operational optimization and digital-twin modeling of jobsites and equipment as initial applications. For heavy-industry operators, autonomous inspection capabilities in particular could extend how facilities monitor equipment condition and site hazards without relying solely on scheduled manual walkthroughs. “This collaboration brings leading physical AI capabilities to a leading manufacturer of construction and mining equipment,” said Ali Agha, founder and CEO of FieldAI, adding that the companies are “shaping the next century of AI-enabled heavy industry.” The initiative builds on Caterpillar’s existing autonomous-mining programs and its broader push to extend autonomy into more complex, less structured industrial settings.
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