What tasks can the robots perform?

They autonomously patrol, take photos, measure with point clouds, and return to a charging station to upload data. They also support security patrols and disaster recovery site surveys.

Do the robots rely on GPS?

No. They can autonomously explore and patrol indoors, underground, and in environments with difficult external communication, using cameras, LiDAR, and edge AI.

How does FieldAI's physical AI model help?

FieldAI's FFM (Field Foundation Models) combine physics-based reasoning with uncertainty evaluation, so robots can handle unlearned situations and daily changes without site-specific system building.

RoboticsTop Companies' AI MovesTop Companies AI4m agoNov 11, 2026, 06:31 JST

Kajima fully deploys FieldAI-powered autonomous robots on construction sites

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3 Key Points

What happened
Kajima announced on November 5, 2026 that it has fully introduced fully autonomous mobile robots equipped with FieldAI's physical AI control technology, after over 2,000 autonomous patrols since 2023 and deployment to 10-plus sites in about a year.
Why it matters
The robots take over routine patrol, photography and measurement tasks, freeing construction management engineers to focus on high-level technical judgments and safety management.

WHO IT HITSConstruction management engineers at Kajima stand to spend less time on routine patrol, photography and measurement, and more on high-level technical judgment and safety management. Other construction firms deploying similar physical AI robots may also see reduced field workload.

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Context & Analysis

Kajima's collaboration with FieldAI began in 2023, with multiple types of general-purpose robots used to carry out autonomous patrols. By 2025 the two companies signed a contract to strengthen cooperation, and within about one year Kajima deployed the robots to 10-plus construction sites in Japan. The robots are built by adding an autonomy unit—cameras, LiDAR, and an edge AI device—to general-purpose robots, enabling real-time movement decisions without human intervention.

The system uses FieldAI's physical AI model, FFM, which combines physics-based reasoning with uncertainty evaluation. This differs from conventional control technology that requires customizing systems for each site. Instead, the same model can be applied to various robots and tasks, allowing Kajima to expand use cases such as autonomous security patrols and disaster recovery surveys. Kajima now plans to apply the autonomous control technology to other in-house developments, aiming for safer, more productive construction sites where people and machines work together.

FAQ

What tasks can the robots perform?: They autonomously patrol, take photos, measure with point clouds, and return to a charging station to upload data. They also support security patrols and disaster recovery site surveys.
Do the robots rely on GPS?: No. They can autonomously explore and patrol indoors, underground, and in environments with difficult external communication, using cameras, LiDAR, and edge AI.
How does FieldAI's physical AI model help?: FieldAI's FFM (Field Foundation Models) combine physics-based reasoning with uncertainty evaluation, so robots can handle unlearned situations and daily changes without site-specific system building.

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