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The Anduril Technology Stack

Building the Autonomous Arsenal from Lattice and Edge AI to Mass Production

The Anduril Technology Stack

The First Real Technical Breakdown of How Modern Defense Autonomy Actually Works

Most writing about Anduril is either press-release fluff or vague “disruption” talk from people who have never had to make a system work when the network is jammed, the GPS is denied, and the operators are under fire.

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About

About the Book

The First Real Technical Breakdown of How Modern Defense Autonomy Actually Works

Most writing about Anduril is either press-release fluff or vague “disruption” talk from people who have never had to make a system work when the network is jammed, the GPS is denied, and the operators are under fire.

This book is different.

The Anduril Technology Stack is a full-stack engineering examination of how a software-defined autonomous arsenal is actually built — from the Lattice data model and multi-domain correlation, through contested mesh networking, edge AI, mission autonomy, and the brutal realities of mass production.

If you work in defense technology, autonomy, C4ISR, robotics, or force design, this is the book that finally treats the subject like an engineering problem instead of a marketing story.

What You Get

You get a clear architectural map of the entire stack:

  • How Lattice models the world as living entities instead of static tracks
  • Why multi-domain correlation is harder than it looks and what a real nearest-neighbor rule actually requires
  • How to design for mission continuity when the network partitions
  • The real cost of ignoring operational doctrine in task allocation algorithms
  • Edge compute realities under power, thermal, and emissions constraints
  • The difference between autonomy demos and autonomy that survives contact with a contested electromagnetic environment
  • Why mass production of autonomous systems is a completely different engineering problem from building a few expensive prototypes

This is not a collection of feature lists. It is a working engineer’s view of the architecture, the tradeoffs, and the failure modes.

Who This Book Is For

  • Systems engineers and architects who need to understand software-defined defense as a real architecture problem
  • Autonomy and robotics engineers moving into the defense domain
  • Technical program managers and capability developers who have to make hard decisions under constraint
  • Defense analysts and investors who want substance instead of narrative
  • Military officers and planners who need to understand what these systems can and cannot do when the network is stressed

Who This Book Is Not For

If you want inspirational stories about the future of warfare, look elsewhere. If you want classified details or insider secrets, you will not find them here. If you prefer high-level strategy papers with no engineering substance, this will frustrate you.

This book is for people who need to understand how the pieces actually fit together and where the hard problems still live.

Written by an Independent Engineer

Gareth Morgan Thomas has spent years studying and writing about complex technical systems from a practical engineering perspective. This is an independent analysis based on publicly available information, architectural reasoning, and hard-won systems knowledge. It is not sponsored, authorized, or endorsed by Anduril or any government organization.

That independence is the point. You get the analysis without the corporate filter.

The Bottom Line

The defense industry is drowning in PowerPoint and marketing language. Real capability is built by people who understand data models, correlation under uncertainty, partition tolerance, edge constraints, and production realities.

This book was written for those people.

If that describes you, get the book.

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Author

About the Author

gareth thomas

Gareth Thomas is the publisher-author behind BurstBooks, creating rigorous, code-rich STEM textbooks for engineers and advanced learners. Based in Auckland, New Zealand, he builds practical, reference-grade titles that blend clear exposition with working math, diagrams, and real-world examples. His catalog focuses on high-impact domains—including humanoid robotics, GPU architecture and programming, electronic warfare systems, satellite and space systems, EEG/neuro-engineering, and applied AI/ML—designed for hands-on use in labs, teams, and self-study.

Gareth’s workflow is unapologetically modern: LaTeX for precision, reproducible figures and listings, and AI-assisted drafting to accelerate iteration while maintaining strict technical accuracy. Each BurstBooks edition aims to minimize fluff and maximize utility—clean structure, consistent notation, and actionable takeaways. When possible, he complements books with supporting Github repositories, infographics, and exercises to help readers move from theory to implementation quickly.

Note: Many BurstBooks titles are AI-assisted technical editions—structured for information density and correctness over prose style.

Contents

Table of Contents

  • Chapter 1: The Architecture of Software-Defined Defense
    • Section 1: The Operational Problem
      • Expensive Platforms Versus Affordable Mass
      • The Cost-Exchange Problem
      • Reconstituting Combat Power
      • Capacity, Survivability, and Mission Effect
      • Attritable, Recoverable, and Expendable Systems
    • Section 2: From Kill Chains to Kill Webs
      • Sense, Understand, Decide, and Act
      • Sensor-to-Effector Latency
      • Distributed Sensors and Distributed Effects
      • Cross-Domain Target Custody
      • Human Authority in Machine-Speed Operations
    • Section 3: Software-Defined, Hardware-Enabled Systems
      • Common Software Across Different Platforms
      • Hardware and Software Co-Design
      • Capability Improvement Through Software
      • Modular Sensors, Payloads, and Effectors
      • Separating Mission Capability from Vehicle Type
    • Section 4: Anduril's Development Model
      • Internal Research and Development
      • Building Before Traditional Program Capture
      • Product Families Rather Than One-Off Systems
      • Rapid Demonstration and Operational Feedback
      • Transition from Prototype to Program of Record
    • Section 5: The Anduril Technology Layers
      • Lattice Data and Application Platform
      • Lattice Mesh Communications
      • Edge Compute and Tactical Infrastructure
      • Perception, Command and Control, and Autonomy
      • Autonomous Platforms and the Arsenal Production System
  • Chapter 2: Lattice Data and Application Architecture
    • Section 1: Lattice as a Platform
      • Platform Rather Than Single Application
      • Command and Control, Mission Autonomy, Mesh, and SDK
      • Applications, Data Services, and Hardware Integrations
      • Shared Data Models Across Domains
      • Centralized and Distributed Deployments
    • Section 2: The Entity Model
      • Entities as Operationally Significant Things
      • Assets, Tracks, and Geo-Entities
      • Component-Based Entity Descriptions
      • Identity, Aliases, Location, and Disposition
      • Live State, Expiry, and Update Semantics
      • Data Provenance and Source Attribution
    • Section 3: Tasking and Agent Interfaces
      • Taskable Assets and Agents
      • Task Definitions and Parameters
      • Sequential Commands
      • Task State and Execution Feedback
      • Acceptance, Progress, Completion, and Failure
      • Translating Operator Intent into Platform Actions
    • Section 4: Distributed Objects
      • Objects as Binary Data Resources
      • Resilient Storage at the Edge
      • Metadata, Prefixes, and Time-to-Live
      • Linking Objects to Entities
      • Imagery, Thumbnails, Manifests, and Mission Files
      • Object Availability Across a Distributed Environment
    • Section 5: The Common Operating Picture
      • Operational Entities in a Shared World Model
      • Multi-Domain Situational Awareness
      • Track Visualization and Entity Exploration
      • Alerts, Prioritization, and Triage
      • Planning and Tasking from the Common Picture
      • Managing Uncertainty Without Hiding It
    • Section 6: Platform Boundaries and Limits
      • Publicly Documented Interfaces Versus Internal Services
      • What the Operating-System Analogy Explains
      • Where the Operating-System Analogy Breaks Down
      • Integration Boundaries and Mission-Specific Applications
      • Avoiding Unsupported Claims About Internal Architecture
  • Chapter 3: The Lattice SDK and Open Integration
    • Section 1: The Public Integration Surface
      • Entities, Tasks, and Objects APIs
      • Pushing Data into Lattice
      • Pulling Data from Lattice
      • Bidirectional Robot and Sensor Integration
      • User-Facing Applications and Data Services
    • Section 2: REST and gRPC
      • HTTP and JSON Integration
      • gRPC for Efficient Machine Interfaces
      • Protocol Buffers and Open Data Models
      • Request-Response and Streaming Patterns
      • Choosing Protocols for Applications and Hardware
    • Section 3: Authentication and Environment Access
      • OAuth Client-Credentials Flow
      • Access Tokens and Expiration
      • Developer Environments and Sandboxes
      • Application Credentials and Trust Boundaries
      • Credential Protection at the Tactical Edge
    • Section 4: API Stability and Evolution
      • Generally Available and Beta Resources
      • Versioning and Compatibility
      • Deprecation and Migration
      • Schema Evolution Across Fielded Systems
      • Designing Integrations for Long Service Lives
    • Section 5: Rapid Hardware and Software Onboarding
      • Mapping External Data into Lattice Entities
      • Making a Vehicle Taskable
      • Integrating Third-Party Sensors
      • Connecting External Command-and-Control Systems
      • Testing with Representative Notional Data
      • From Developer Sandbox to Operational Environment
    • Section 6: Open Architecture in Practice
      • Modular Open Systems Principles
      • Government-Owned Interfaces
      • Partner Ecosystems and the Lattice Partner Program
      • Avoiding Vendor Lock at Defined Interfaces
      • Open Interfaces Versus Proprietary Implementation
  • Chapter 4: Lattice Mesh and Contested Data Operations
    • Section 1: Communications as Part of the Mission System
      • The Network as an Operational Dependency
      • Disconnected, Intermittent, and Limited Connectivity
      • Mobile and Distributed Nodes
      • Multi-Domain Communications Paths
      • Communications Failure as a Normal Operating Condition
    • Section 2: Deployable Mesh Architecture
      • Lattice Mesh as the Software Networking Layer
      • Node Discovery and Dynamic Topology
      • Extending the Network to the Tactical Edge
      • Local Services During Upstream Disconnection
      • Rejoining and Resynchronizing Distributed Operations
    • Section 3: Data Movement Under Constraint
      • Mission-Priority Data
      • Bandwidth-Aware Distribution
      • Store-and-Forward Operation
      • Compression and Representation Tradeoffs
      • Object Replication and Availability
      • Freshness, Expiry, and Stale Data
    • Section 4: Resilience in the Electromagnetic Environment
      • Jamming, Interference, and Link Loss
      • Degraded Communications Modes
      • Alternate Paths and Transport Diversity
      • Emissions and Detectability Tradeoffs
      • Separating Public Claims from Undisclosed Waveform Details
    • Section 5: Time, Position, and Trust
      • Timing for Distributed Sensor Data
      • Positioning in GNSS-Degraded Environments
      • Identity and Authorization of Network Participants
      • Data Integrity and Source Confidence
      • Compromised, Untrusted, and Stale Nodes
    • Section 6: Tactical Network Case Studies
      • Lattice Mesh in Next Generation Command and Control
      • Distributed Targeting Workflows
      • Edge Operations on Voyager Hardware
      • Menace-X and Mobile Command Posts
      • Mission Continuity During Network Partition
  • Chapter 5: Sensors, Perception, and the World Model
    • Section 1: The Anduril Sensor Family
      • Sentry for Persistent Autonomous Surveillance
      • Wisp for Passive Infrared Detection and Tracking
      • Spyglass Ku-Band Phased-Array Radar
      • Spark Dual-Band Hemispheric Radar
      • Pulsar as a Software-Defined Electronic-Warfare Sensor and Effector
      • Iris Airborne Imaging and Targeting Sensors
    • Section 2: Electro-Optical and Infrared Perception
      • Visible and Thermal Imaging
      • Passive Long-Range Detection
      • Computational Pixel Imager Technology
      • Noise, Clutter, and Atmospheric Effects
      • Infrared Search and Track
      • Missile Warning, Imaging, and Targeting
    • Section 3: Radar and Radio-Frequency Sensing
      • Radar Search and Track
      • Phased-Array Beam Control
      • Low, Slow, and Small Target Detection
      • Hemispheric and On-the-Move Sensing
      • Passive and Active Sensing Tradeoffs
      • RF Detection and Electronic Support
    • Section 4: Detection, Classification, and Tracking
      • Object Detection at Operational Range
      • Classification Confidence
      • Small-Target Detection
      • Tracking Through Occlusion and Clutter
      • Re-Identification and Track Continuity
      • False Alarms and Missed Detections
    • Section 5: Multi-Sensor Fusion
      • Spatial Registration
      • Clock Alignment and Measurement Timing
      • Track Formation and Maintenance
      • Measurement-to-Track Association
      • Track-to-Track Correlation
      • Conflicting Observations and Uncertainty
    • Section 6: Distributed Perception
      • On-Sensor and On-Platform Processing
      • Fusion at the Tactical Edge
      • Sharing Tracks Instead of Raw Sensor Streams
      • Local World Models and the Common Operating Picture
      • Maintaining Target Custody Across Sensors
      • Turning Perception into Taskable Operational Data
  • Chapter 6: Edge Compute and Connected Warfare
    • Section 1: Why Compute Moves to the Edge
      • Latency and Mission Responsiveness
      • Operation Without Reliable Cloud Access
      • Local Inference and Data Reduction
      • Data Sovereignty and Mission Isolation
      • Cloud, Garrison, Tactical, and Onboard Compute Tiers
    • Section 2: The Menace Family
      • Menace-I for Large-Scale Tactical Processing
      • Menace-X for Mobile Distributed Command and Control
      • Menace-T for Human-Portable Tactical C4
      • Common Lattice Services Across Deployment Sizes
      • Rapid Setup, Movement, and Reconstitution
    • Section 3: Voyager and Klas Integration
      • Rugged Modular Compute and Networking
      • Extreme Temperature, Dust, Shock, and Vibration
      • Size, Weight, Power, and Cooling Constraints
      • Deployable Infrastructure for Austere Environments
      • Hardware Modularity and Technology Refresh
    • Section 4: Onboard Mission Compute
      • Vehicle Mission Systems
      • Sensor Processing and Local Fusion
      • Autonomy and Control Workloads
      • Accelerator, Memory, and Bandwidth Constraints
      • Power and Thermal Management
      • Graceful Degradation Under Resource Pressure
    • Section 5: Deploying AI at the Edge
      • Training Versus Inference Environments
      • Model Packaging and Hardware Targets
      • Reduced Precision and Quantization as General Techniques
      • Pruning and Distillation as General Techniques
      • Latency, Accuracy, Power, and Thermal Tradeoffs
      • Avoiding Unsupported Claims About Anduril's Private AI Toolchain
    • Section 6: EagleEye and the Connected Warfighter
      • Lattice-Powered Warfighter Augmentation
      • Digital Vision and Threat Detection
      • Mission Data in the Operator's Field of View
      • Connectivity to Sensors and Robotic Systems
      • Human Factors, Ergonomics, and Cognitive Load
      • Soldier-Borne Mission Command
  • Chapter 7: Command and Control and Human-Machine Teaming
    • Section 1: Command and Control as an Application Layer
      • Situational Awareness
      • Mission Planning
      • Asset Tasking
      • Sensor-to-Effector Coordination
      • Operational Reporting and Assessment
    • Section 2: Operator Interaction
      • Map, Three-Dimensional, and Entity-Centric Views
      • Alerts and Triage
      • Recommended Actions Versus Authorized Actions
      • Managing Multiple Assets
      • Dismounted, Vehicle, Mobile, and Garrison Interfaces
    • Section 3: Human Authority and Delegation
      • Human-in-the-Loop and Human-on-the-Loop Models
      • Rules of Engagement
      • Delegated Mission Boundaries
      • Positive Identification and Engagement Authority
      • Abort, Override, and Return-to-Control Mechanisms
    • Section 4: Span of Control
      • One Operator and Multiple Autonomous Systems
      • Attention as a Constrained Resource
      • Exception-Based Supervision
      • Trust Calibration
      • Automation Surprise and Mode Confusion
    • Section 5: Command Under Degradation
      • Loss of Communications
      • Loss of Positioning
      • Conflicting or Stale Tracks
      • Local Mission Continuation Rules
      • Authority Handoff and Recovery
    • Section 6: Interoperable Command and Control
      • External C2 Systems
      • Government Data and Interface Standards
      • Coalition and Partner Integration
      • Classification and Releasability Boundaries
      • Lattice as a Participant in a Wider Kill Web
  • Chapter 8: Vehicle Autonomy, Navigation, and Control
    • Section 1: Layers of Vehicle Autonomy
      • Vehicle Management
      • Guidance, Navigation, and Control
      • Perception and Localization
      • Behavior Execution
      • Mission Autonomy
      • Separation of Safety-Critical and Mission Software
    • Section 2: State Estimation and Localization
      • Inertial Navigation
      • Satellite Navigation When Available
      • Visual, Terrain, Radar, and Acoustic Aiding
      • Sensor Bias and Drift
      • Uncertainty-Aware State Estimation
      • Navigation in GNSS-Denied Environments
    • Section 3: Planning and Guidance
      • Route and Path Planning
      • Constraint-Aware Trajectory Generation
      • Obstacle and Threat Avoidance
      • Replanning as Conditions Change
      • Fuel, Energy, Time, and Risk Objectives
    • Section 4: Flight, Surface, and Undersea Control
      • Fixed-Wing and Vertical-Lift Control
      • Transition Between Hover and Forward Flight
      • Surface-Vehicle Guidance
      • Undersea Depth and Attitude Control
      • Actuator Limits, Disturbances, and Faults
    • Section 5: Autonomous Behavior
      • Behavior Trees, State Machines, and Policy-Based Control
      • Deterministic Rules and Learned Components
      • Safety Envelopes
      • Contingency and Lost-Link Behaviors
      • Explainability at the Operator Interface
    • Section 6: Platform Adaptation
      • Abstracting Sensors and Actuators
      • Porting Autonomy Across Vehicle Types
      • Vehicle-Specific Performance Models
      • Payload and Mission-System Interfaces
      • Limits of Hardware-Agnostic Autonomy
  • Chapter 9: Mission Autonomy and Collaborative Systems
    • Section 1: Lattice for Mission Autonomy
      • Mission Outcomes Rather Than Direct Vehicle Control
      • Teams of Uncrewed Systems
      • Air, Land, Surface, and Undersea Collaboration
      • Dynamic Planning Under Human Supervision
      • Mission-Level Adaptation
    • Section 2: Multi-Agent Coordination
      • Mission Decomposition
      • Task Allocation
      • Role Assignment
      • Cooperative Search and Coverage
      • Dynamic Retasking
      • Reallocation After Loss or Failure
    • Section 3: Coordination Under Communications Limits
      • Centralized and Distributed Coordination
      • Local Decision Authority
      • Shared State with Partial Connectivity
      • Communication and Coordination Overhead
      • Avoiding Conflicting Actions
      • Recovery After Network Partition
    • Section 4: Autonomy Government Reference Architecture
      • A-GRA and Modular Mission Autonomy
      • Separating the Autonomy Provider from the Air Vehicle
      • Government-Owned Interfaces
      • Portable Mission Software
      • Multi-Vendor Competition and Interchangeability
      • Lattice Mission Autonomy Compliance
    • Section 5: Demonstrated Collaborative Autonomy
      • Army EDGE Multi-Asset Demonstrations
      • DIU Replicator Integration
      • Special Operations Mission-Autonomy Integration
      • YFQ-44A with Anduril and Third-Party Autonomy
      • What Demonstrations Establish and What They Do Not
    • Section 6: Scaling Autonomous Teams
      • Operator Span of Control
      • Compute and Communications Scaling
      • Emergent Behavior
      • Verification Complexity
      • Mission-Level Failure Containment
  • Chapter 10: Security, Testing, and Mission Assurance
    • Section 1: Security Architecture
      • Identity, Authentication, and Authorization
      • Least Privilege
      • Device and Application Trust
      • Data Integrity and Provenance
      • Segmentation and Mission Isolation
      • Software Supply-Chain Security
    • Section 2: Cyber Resilience at the Edge
      • Compromised Nodes
      • Credential Loss and Revocation
      • Secure Operation During Disconnection
      • Recovery and Rejoining
      • Logging and Forensic Evidence
      • Security Updates to Fielded Systems
    • Section 3: Modeling and Simulation
      • Mission and Environment Models
      • Vehicle and Sensor Models
      • Scenario Generation
      • Digital Twins as a General Engineering Method
      • Monte Carlo and Edge-Case Exploration
      • Simulation Limits and Model Error
    • Section 4: Software- and Hardware-in-the-Loop Testing
      • Component Testing
      • Integrated Mission-System Testing
      • Software-in-the-Loop
      • Processor- and Hardware-in-the-Loop
      • Communications and Electronic-Warfare Emulation
      • Full-Mission Rehearsal
    • Section 5: Autonomy Verification and Validation
      • Requirements and Behavioral Constraints
      • Scenario Coverage
      • Rare and Adversarial Conditions
      • Perception Performance and Confidence
      • Human-Machine Interaction Testing
      • Evidence for Operational Release
    • Section 6: Field Software Lifecycle
      • Configuration Management
      • Signed and Controlled Releases
      • Staged Deployment
      • Telemetry and Operational Feedback
      • Rollback and Recovery
      • Continuous Improvement Without Uncontrolled Change
  • Chapter 11: Tactical Autonomous Air Systems
    • Section 1: Ghost
      • Expeditionary Reconnaissance
      • Vertical Takeoff and Landing
      • Autonomous Flight and Sensor Employment
      • Portability and Rapid Deployment
      • Integration with Lattice
    • Section 2: ALTIUS
      • Tube-Launched Air Effects
      • ALTIUS-600 and ALTIUS-700 Families
      • Air, Ground, and Maritime Launch Options
      • Modular Payloads
      • Reconnaissance, Electronic Warfare, and Strike Roles
      • Collaborative Employment
    • Section 3: Bolt and Bolt-M
      • Man-Portable Autonomous Air Vehicles
      • Reconnaissance and Armed Variants
      • Operator-Supervised Targeting
      • Onboard Perception and Terminal Guidance
      • Mission Planning and Rapid Deployment
    • Section 4: Omen
      • Runway-Independent Group 3 Air Vehicle
      • Hover-to-Cruise Architecture
      • Hybrid-Electric Propulsion
      • Payload, Range, and Endurance Tradeoffs
      • Two-Person Expeditionary Operation
      • Development and Planned Production Status
    • Section 5: Thunder
      • Autonomous Attack Rotorcraft
      • Operations in the Near-Surface Environment
      • Crewed-Uncrewed Teaming
      • Payload Modularity
      • Range, Survivability, and Attritability
      • Status as an Emerging 2026 Program
    • Section 6: Common Architectural Themes
      • Lattice Integration
      • Modular Mission Payloads
      • Runway Independence
      • Expeditionary Logistics
      • Autonomy Under Contested Communications
      • Production Scale and Cost
  • Chapter 12: Air Dominance, Strike, and Airborne Sensing
    • Section 1: Fury and the YFQ-44A
      • Collaborative Combat Aircraft
      • Near-Fighter-Speed Autonomous Flight
      • Modular Mission Payloads
      • Crewed-Uncrewed Teaming
      • Flight-Test Progress
      • Fury as the Basis of the YFQ-44A
    • Section 2: Open Mission Autonomy on the YFQ-44A
      • Air Vehicle Versus Autonomy Software
      • A-GRA Interfaces
      • Lattice Mission Autonomy
      • Third-Party Autonomy Integration
      • Software Competition Throughout the Aircraft Lifecycle
      • Lessons from Multi-Vendor Flight Demonstrations
    • Section 3: Barracuda
      • A Family of Air-Breathing Autonomous Air Vehicles
      • Barracuda-100, Barracuda-250, and Barracuda-500
      • Mass-Producible Design
      • Modular Payload and Mission Configurations
      • Range, Payload, Propulsion, and Cost Tradeoffs
      • Avoiding the Oversimplified Cruise-Missile Label
    • Section 4: Iris
      • Passive Airborne Imaging and Targeting
      • Infrared Search and Track
      • Missile Warning and Visualization
      • Computational Pixel Imager Technology
      • Edge Detection and Tracking
      • Open Mission Systems Compliance
    • Section 5: Mission-System Integration
      • Sensors, Communications, and Weapons Interfaces
      • Target Custody Across Platforms
      • Mission Data Exchange
      • Onboard and Offboard Processing
      • Rapid Payload and Software Upgrades
    • Section 6: Producing Air Power at Scale
      • Aircraft Designed for Production
      • Autonomous Systems Versus Traditional Force Structure
      • Mission Effect per Unit Cost
      • Maintenance and Technology Refresh
      • Arsenal-1 and High-Rate Air-Vehicle Production
  • Chapter 13: Counter-UAS and Layered Air Defense
    • Section 1: The Counter-UAS Problem
      • Low, Slow, and Small Targets
      • High Raid Density
      • Clutter and False Alarms
      • Short Engagement Timelines
      • Defending at a Sustainable Cost
    • Section 2: The Sensing Layer
      • Sentry Persistent Surveillance
      • Wisp Passive Infrared Detection
      • Spyglass Precision Radar Tracking
      • Spark On-the-Move Hemispheric Radar
      • Pulsar RF Sensing
      • Multi-Sensor Cueing and Correlation
    • Section 3: Detection-to-Engagement
      • Detection and Classification
      • Track Formation
      • Threat Evaluation
      • Effector Assignment
      • Engagement Authorization
      • Kill Assessment and Re-Engagement
    • Section 4: Pulsar and Electronic Warfare
      • Software-Defined Electronic Warfare
      • AI-Enabled Operation at the Edge
      • Detection, Classification, and Response
      • Non-Kinetic Defeat
      • Adaptation to Changing Threat Signals
      • Limits Against Autonomous or Hardened Targets
    • Section 5: Anvil and Kinetic Interception
      • Autonomous Drone-on-Drone Interception
      • Lattice Cueing
      • Engagement Geometry
      • Terminal Homing
      • Collateral and Airspace Considerations
    • Section 6: Roadrunner and Roadrunner-M
      • Reusable Vertical-Takeoff Autonomous Air Vehicle
      • Roadrunner-M High-Explosive Interceptor
      • Recovery When an Engagement Is Aborted
      • High-Performance Intercept
      • Launch, Return, and Reconstitution
    • Section 7: Layered Defense Economics
      • Matching Effectors to Threats
      • Cost per Engagement
      • Magazine Depth
      • Reload and Reconstitution
      • Leakage, Saturation, and Layered Coverage
  • Chapter 14: Maritime and Undersea Autonomy
    • Section 1: The Dive Vehicle Family
      • Dive-LD
      • Dive-XL
      • Common Autonomous Undersea Architecture
      • Modular Payload Bays
      • Commercially Derived Production Methods
    • Section 2: Ghost Shark
      • Australian Extra-Large Autonomous Undersea Vehicle
      • Relationship to Dive-XL
      • Sovereign Mission Systems
      • Rapid Prototype-to-Program Transition
      • Australian Production
    • Section 3: Copperhead
      • Copperhead-100 and Copperhead-500
      • High-Speed Autonomous Undersea Vehicles
      • Launch from Different Platforms
      • Modular Mission Configurations
      • Autonomous Undersea Effects
    • Section 4: Seabed Sentry
      • Persistent Seabed Surveillance
      • Distributed Underwater Sensing
      • Long-Duration Deployment
      • Detection and Data Recovery
      • Integration into a Wider Undersea Picture
    • Section 5: Undersea Navigation and Communications
      • Inertial Navigation and Drift
      • Terrain, Acoustic, and Other Navigation Aids
      • Operation Without Continuous GNSS
      • Low-Bandwidth Acoustic Communications
      • Surfacing, Relay, and Data Synchronization
      • Autonomous Operation During Isolation
    • Section 6: Endurance and Mission Systems
      • Energy Storage and Propulsion
      • Speed-Endurance Tradeoffs
      • Payload Power and Cooling
      • Pressure, Corrosion, and Environmental Hardening
      • Launch, Recovery, Maintenance, and Turnaround
    • Section 7: Emerging Autonomous Surface Warfare
      • Partnerships for Autonomous Surface Vessels
      • Lattice Mission Systems on Maritime Platforms
      • Surface and Undersea Collaboration
      • Production Partnerships and Sovereign Manufacturing
      • Distinguishing Announced Programs from Fielded Products
  • Chapter 15: Space-Domain Systems
    • Section 1: Anduril's Contested-Space Architecture
      • Integrated Hardware and Software
      • Space-Domain Awareness
      • Battle Management
      • Rendezvous and Proximity Operations
      • Missile Warning and Missile Defense
      • Lattice Across Ground and Space Segments
    • Section 2: Space-Domain Awareness
      • The ExoAnalytic Telescope Network
      • Global Optical Observation
      • Detection, Tracking, and Orbital Custody
      • Maneuver Detection
      • Data Fusion and Space Intelligence
      • ExoAnalytic's Integration into Anduril
    • Section 3: Rendezvous and Proximity Operations
      • Autonomous Relative Navigation
      • Inspection and Characterization
      • Onboard Perception
      • Guidance and Safety Constraints
      • Impulse Space GEO Demonstration
      • Spacecraft-Bus and Payload Partnerships
    • Section 4: Space Battle Management
      • Fusing Ground- and Space-Based Observations
      • Maintaining Custody of Maneuvering Objects
      • Operator Decision Support
      • Tasking Sensors and Spacecraft
      • Cross-Domain Command-and-Control Integration
    • Section 5: Golden Dome and Space-Based Interceptors
      • Anduril's Confirmed Space Force OTA Participation
      • The Anduril-Led Industry Team
      • Proliferated Low-Earth-Orbit Interceptor Concepts
      • Boost, Midcourse, and Glide-Phase Engagement Goals
      • Integration and Demonstration Objectives
      • Operational-Security Limits on Public Technical Detail
    • Section 6: Program Maturity and Technical Limits
      • Demonstrated Systems Versus Development Programs
      • Constellation Scale
      • Communications and Battle-Management Latency
      • Orbital Geometry and Target Access
      • Launch, Replenishment, and Cost
      • Avoiding Speculation Beyond Public Evidence
  • Chapter 16: Arsenal and the Production Technology Stack
    • Section 1: Arsenal as a Production System
      • Software-Defined Manufacturing
      • High-Rate Production of Autonomous Systems and Weapons
      • Flexible Factories Across Product Families
      • Production Capacity as a Military Capability
      • Connecting Engineering Changes to the Factory
    • Section 2: Arsenal-1
      • The Ohio Hyperscale Facility
      • Five-Million-Square-Foot Production Ambition
      • Air-Vehicle and Weapon Production
      • Expansion and Surge Capacity
      • Workforce, Automation, and Supplier Integration
      • Factory Status and Production Ramp
    • Section 3: Design for Production
      • Design for Manufacturability and Assembly
      • Fewer Unique Parts and Processes
      • Modular Subsystems
      • Tolerance and Quality Control
      • Automated Inspection and Test
      • Designing for Rate Before Production Begins
    • Section 4: Digital Engineering and the Production Thread
      • Product Configuration
      • Requirements and Design Data
      • Manufacturing Planning
      • Supplier and Material Traceability
      • Test Results and Nonconformance Data
      • Feedback from Field Performance to Design
    • Section 5: Vertical Integration
      • Sensors and Infrared Manufacturing
      • American Infrared Solutions
      • Solid Rocket Motors and Propulsion Capacity
      • Mission Computers and Rugged Infrastructure
      • Controlling Critical Components and Lead Times
      • Deciding What to Build and What to Source
    • Section 6: Distributed and Sovereign Production
      • Ghost Shark Production in Australia
      • European and Allied Manufacturing Partnerships
      • Local Supply Chains
      • Common Software with Sovereign Mission Configurations
      • Production Resilience Across Multiple Sites
    • Section 7: Reconstitution at Scale
      • Unit Cost and Production Rate
      • Magazine Depth
      • Replacement After Combat Losses
      • Repair, Recovery, and Reuse
      • Technology Refresh During Continued Production
      • Closing the Loop Between Lattice, Platforms, and Arsenal
  • Chapter 17: The Integrated Anduril System
    • Section 1: Counter-UAS as a Complete Architecture
      • Sentry, Wisp, Spyglass, Spark, and Pulsar
      • Lattice Track Fusion
      • Operator Authorization
      • Pulsar, Anvil, and Roadrunner Effectors
      • Engagement Assessment and Reconstitution
    • Section 2: Collaborative Air Combat
      • Crewed Aircraft and YFQ-44A
      • Lattice Mission Autonomy
      • A-GRA and Third-Party Autonomy
      • Iris and Distributed Target Custody
      • Barracuda and Other Distributed Effects
    • Section 3: Distributed Undersea Operations
      • Seabed Sentry Detection
      • Dive and Ghost Shark Persistent Autonomy
      • Copperhead Mission Effects
      • Intermittent Communications
      • Human Supervision Across Long-Duration Missions
    • Section 4: Connected Ground Operations
      • Sentry and Mobile Sensors
      • Lattice Mesh
      • Menace and Voyager Edge Infrastructure
      • EagleEye and the Connected Warfighter
      • External Sensors, Fires, and Command Systems
    • Section 5: Space and Cross-Domain Defense
      • ExoAnalytic Space-Domain Awareness
      • Ground and Space Sensor Fusion
      • Battle Management
      • Space-Based Interceptor Development
      • Cross-Domain Data and Command Boundaries
    • Section 6: Architectural Strengths and Constraints
      • Common Data and Tasking Models
      • Edge Operation Under Degraded Connectivity
      • Modular Hardware and Software
      • Rapid Integration and Production
      • Verification, Security, and Human Authority
      • Public Evidence, Unknowns, and the Limits of Reconstruction

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