AE-02 · Multi-agent autonomy

ReCAP: Cooperative Planning for Heterogeneous Systems

Capability-based coordination for mixed fleets that need to plan, allocate work, and respond as mission conditions change.

Status: Prototype capability
Delivery: Client-configurable
Brief type: Aurora capability brief
Engagement: Available for partner missions

Concept scene where an orbiter identifies an observation and requests support from surface vehicles — Media 01 · Source one-pagerIllustrative cooperative response across orbital and surface assets.

01 · Overview

A transferable mission capability

Give each mission asset a clear understanding of what it can contribute, then coordinate the team around outcomes instead of rigid platform assumptions.

Capability-based coordination for mixed fleets that need to plan, allocate work, and respond as mission conditions change.

Adaptable by design

Aurora can apply the same engineering pattern to a partner's mission, then tailor the models, data sources, software interfaces, verification evidence, and level of operational authority to the project.

02 · Mission need

Why this work matters

Future missions may combine spacecraft, surface systems, instruments, and human operators with different capabilities and communications constraints. Fixed plans can become brittle when an asset is unavailable, a new observation changes priorities, or connectivity varies across the team.

03 · Engineering approach

How Aurora structures the work

Each engagement begins with the mission decision and available evidence. The implementation is then sized to the client's architecture, assurance needs, schedule, and operating environment.

01
Describe capabilities
Represent what each participant can sense, decide, communicate, and accomplish in mission-relevant terms.
02
Plan around outcomes
Translate mission objectives into tasks that can be evaluated against the available team rather than a single preassigned platform.
03
Allocate cooperatively
Use distributed coordination to match work with the right assets as availability, priority, and context evolve.
04
Integrate incrementally
Connect planning and execution services to existing vehicle, payload, or ground-system interfaces with mission-defined authority.

04 · Evidence and uses

What the capability establishes

A reusable pattern for coordinating heterogeneous autonomous and human-operated assets.
Mission logic that remains understandable to domain experts and adaptable to changing team composition.
A path from simulation and tabletop scenarios to hardware and operational integration.

Representative applications

Planetary surface teamsDistributed spacecraftRemote sensing fleetsHuman-autonomy teaming

05 · Work with Aurora

Bring the capability into your project

Aurora's scientists and engineers can support a focused analysis, prototype a mission concept, integrate production software, or work alongside an existing prime, university, laboratory, or government team.

01Multi-agent mission architecture

02Capability and task modeling

03Coordination software integration

04Scenario-based verification

06 · Source media and resources

Approved public material

Architecture diagram linking capability planning, task allocation, actuation, and vehicle control — Media 02Generalized coordination architecture spanning planning, allocation, execution, and control.

Media 03Aurora Engineering

MEDOS product mark included in the ReCAP source one-pager — Media 04Autonomy technology heritage referenced by the source brief

This public brief presents the transferable coordination capability. Project-specific architecture and allocation details are shared within an appropriate client engagement.