Mission intent
Define objectives and priorities that guide planning and tasking.
Solutions / Direct with oversight
Mission Planning & Control
Turn mission intent into coordinated autonomous action.
Turn operator intent into clear mission plans and tasks. We are developing a mission copilot that brings environmental context, system health and remaining capability into planning—so proposed changes come with an explanation and stay within defined authority.
AQFM™: our shared intelligence foundation, in development.
The operational challenge
A mission needs more than a status display.
When plans, asset status, and operator decisions live in separate systems, teams can lose time understanding what changed and deciding what to do next. Changing links, positioning information, and asset capability make that harder.
The AstraQua approach
Keep human intent at the center.
Mission Planning & Control is designed to turn objectives and constraints into proposed plans and tasks. The copilot explains changes for review within defined authority; Fleet Coordination handles allocation across assets. Platform controllers remain responsible for low-level vehicle control.
Capability focus
From mission direction to informed decisions
Development focus. Availability and validation are program-specific.
Operating constraints
Define permissions, operating boundaries, intervention rules and deterministic safety controls where applicable as part of the safe AI development approach.
Mission awareness
Bring asset status and mission events into a shared operational picture.
Decision support
Present proposed plans, assumptions and constraints for operator review.
Human oversight
Design approval and intervention pathways around the program’s authority model.
Resilient mission workflows
Use current health evidence and mission constraints to assess replanning, return feasibility and recovery when capability degrades.
How it works
A connected decision workflow
Set intent and constraints. Review mission and asset context. Assess proposed changes. Authorize action within agreed boundaries. Monitor execution and adapt as conditions evolve.
Intended operational value
Better context. More informed action.
- Clearer alignment between operator intent and machine tasking.
- Better context for reviewing changing mission conditions.
- More structured contingency and recovery decisions.
Intended outcomes, not guaranteed results or quantified performance claims.
Resilient Mission Control is part of this solution.
Continuity-oriented planning includes reassignment, recovery options, and reduced-capability workflows. Communications, navigation, fallback behavior, and execution limits depend on the integrated system and its validation.
One intelligence foundation
The role within AQFM
Within the intended AQFM architecture, Perception & Navigation supplies environmental context, while AstraSense contributes condition and remaining capability throughout the mission. Mission Planning & Control uses that context to assess plans and authorized changes; Fleet Coordination connects those plans with assignments 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.
MiningWildfire ResponseOffshore and Maritime OperationsSmart ConstructionSearch and RescueLunar and Space OperationsAdvanced Air Mobility
Explore Mission Lab simulations →Questions, answered
What to know
Is this an autopilot?
No. This solution describes mission-level direction, decision support, and oversight. Flight or vehicle control remains dependent on the integrated platform.
Who authorizes consequential actions?
Human authority, permissions, and intervention rules should be explicitly established for each program. AI assistance does not replace the human chain of command.
What happens when communications degrade?
The development focus includes awareness of degraded conditions and support for contingency planning. Available behavior depends on the platform, links, navigation, and approved operating boundaries.
How is this different from Fleet Coordination?
Mission Planning & Control defines what should be achieved, the proposed plan and who may authorize changes. Fleet Coordination determines how tasks are assigned and reassigned across participating assets.
What does the Mission Lab demonstrate?
It provides illustrative simulated mission workflows. A scripted guide or simulated recommendation is not a deployed AI copilot, certified operation or measured field performance.
Technical perspective
Explore the thinking behind this capability
Intent → Tasks → Execution: The Missing Layer Above Autonomy →
Build the evaluation around your mission
Start with your systems and constraints.
Scope one operator workflow: the intent to capture, decisions to support, task interfaces and approvals required. Agree the software deliverable, deployment location and evaluation measures before integration.