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Solutions / Coordinate execution

Fleet Coordination

Coordinate autonomous machines as one intelligent fleet.

Keep fleet plans aligned with what each machine can actually do. We are developing coordination that brings mission priorities, shared observations and AstraSense health intelligence together to support task allocation, reassignment and recovery planning.

AQFM™: our shared intelligence foundation, in development.

Watch the recorded Dark Fleet view →

The operational challenge

Autonomy alone is not cooperation.

Individually capable machines can still duplicate work, compete for resources, or lose alignment as conditions change. Operators need to understand which assets are available, what each can do, and how responsibilities fit together.

The AstraQua approach

Coordinate the mission, not just individual machines.

Fleet Coordination is being developed to connect mission priorities with each system’s capabilities and task interfaces. Coordination boundaries, authorization rules and responses to lost links or reduced capability must be integrated and validated for each application.

Capability focus

Shared intent. Coordinated responsibilities.

Development focus. Availability and validation are program-specific.

Multi-asset awareness

Bring participating assets and their mission status into a common view.

Shared mission context

Connect objectives and priorities with coordinated tasking.

Task allocation

Support assignment of responsibilities across suitable assets.

Capability-aware allocation

Match tasks to asset availability, remaining capability and program-defined operating limits.

Health-aware reassignment

Use AstraSense real-time self-awareness to reassess a role, reassign work and evaluate return or recovery as health changes.

Operator-supervised adaptation

Support review and intervention when priorities or conditions change.

How it works

A connected decision workflow

Establish mission priorities. Assess asset context and availability. Allocate responsibilities. Monitor execution. Reassess assignments when mission conditions or asset capability changes.

Intended operational value

Better context. More informed action.

  • Less fragmented tasking and a clearer shared mission picture.
  • Better visibility into responsibility and asset availability.
  • More structured reassignment when an asset cannot continue its role.

Health-aware reassignment

When one machine’s condition changes, the whole mission may need to adapt. AstraSense is being developed to make health and remaining capability available to mission reasoning and fleet coordination, helping teams evaluate reassignment and feasible recovery.

Explore Operational Self-Awareness →

One intelligence foundation

The role within AQFM

Within the intended AQFM architecture, Mission Planning & Control supplies objectives, plans and authority. Perception & Navigation contributes environmental context; AstraSense contributes condition and remaining capability throughout execution. Fleet Coordination uses that context to assess assignments and reassignment across assets.

Explore the context

Use cases and demonstrations

Explore seven Mission Lab simulations combining observations, mission reasoning, coordination and AstraSense health context. Scenarios use synthetic signals and rules; they illustrate the architecture direction, not live AQFM inference or field performance.

Explore Mission Lab simulations →

Watch the recorded vision demo →

Questions, answered

What to know

What does Fleet Coordination mean?

It means coordinating responsibilities, task assignments, and execution across multiple assets working toward shared mission objectives.

Must every asset be fully autonomous?

No universal autonomy level is assumed. The intended workflow accommodates program-defined human supervision and differing asset capabilities.

Can aerial, ground, and maritime assets work together?

Cross-domain coordination is part of the solution direction. Each asset type requires its own interfaces, operating constraints, integration, and testing.

Is health-aware reassignment always automatic?

No. The appropriate level of automation depends on evidence, operating rules, and human authorization for the specific program.

Are the Mission Lab response times product benchmarks?

No. The Mission Lab is an illustrative simulation. Its scripted scenarios and displayed values should not be interpreted as measured product performance.

Technical perspective

Explore the thinking behind this capability

The Coordination Tax: Why Communication Breaks Autonomy at Scale →

Build the evaluation around your mission

Start with your systems and constraints.

Start with a small team of systems and one coordination problem. Define task interfaces, shared observations, health inputs, deployment locations and the measures used to evaluate allocation and reassignment.