FieldAI Field Foundation Models for Robot Autonomy

Organization
Field AI, Inc. (FieldAI) · United States
Solution Type
Platform
Collaboration
Licensing, R&D Collaboration

1. Technology overview

Field AI, Inc. (FieldAI) is a California company (Irvine/Mission Viejo) whose team comes from NASA JPL, DeepMind, Tesla, NVIDIA and Amazon and from programmes such as the DARPA SubT Challenge. It builds general-purpose robot intelligence for unstructured settings such as construction sites, energy plants, mines and urban operations, where traditionally programmed robots fail.

Its Field Foundation Models combine data-driven AI with physics-based reasoning and uncertainty quantification. The stack has three layers: Dynamics Foundation Models for balance, locomotion and manipulation on any robot body; Field Foundation Models for risk-aware, long-horizon missions without prior maps or GPS; and Multiagent Foundation Models so fleets of different robot types work toward one mission. Deployments span hundreds of sites on three continents, including Singapore and Tokyo.

2. Highlighted features & specifications

  • Dynamics Foundation Models: balance, locomotion and manipulation for any robot body.
  • Field Foundation Models: risk-aware reasoning and memory for long-horizon missions.
  • Multiagent Foundation Models: coordinate fleets of diverse robot types on a common mission.
  • Map-free autonomy: works without GPS, prior maps or environmental modifications.
  • Construction progress tracking: documents as-built progress on changing job sites.
  • Industry solutions: construction, industrial and energy, mining, power utilities and urban operations.

3. Potential application

  • A Vietnamese general contractor tracking as-built progress on high-rise or industrial projects with legged robots.
  • A power utility running autonomous inspections at substations and plants.
  • A mining or cement company deploying robots in GPS-denied areas.

4. Benefits

  • Robots operate in sites never seen before, with no prior maps, pre-planned routes or site modifications.
  • One autonomy stack across quadrupeds, wheeled and other robot types avoids rebuilding software per form factor.
  • Risk-aware decision-making supports safe work around people.
  • Robots capture site data as a by-product of missions, cutting manual documentation effort.

6. Other information

Field AI, Inc. lists 361 Madero, Mission Viejo, California in its terms; press releases are datelined Irvine, CA. Team includes veterans of NASA JPL, DeepMind, Tesla, NVIDIA and Amazon. Partnerships with Boston Dynamics, NVIDIA and Caterpillar; operates FieldAI Federal for government work.

Field AI, Inc. (FieldAI)
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