Isaac Architecture Diagrams

1. Isaac Sim Architecture

graph TB
    subgraph "Isaac Sim Environment"
        A[USD Stage] --> B[Physics Scene]
        A --> C[Rendering Engine]
        A --> D[Robot Models]

        B --> E[PhysX Engine]
        C --> F[NVIDIA RTX Rendering]
        D --> G[Rigid Body Dynamics]

        E --> H[Collision Detection]
        F --> I[Photorealistic Rendering]
        G --> J[Joint Constraints]
    end

    subgraph "Sensors"
        K[Camera Sensor] --> L[Image Processing]
        M[LiDAR Sensor] --> N[Point Cloud Processing]
        O[IMU Sensor] --> P[Inertial Processing]
    end

    D --> K
    D --> M
    D --> O

    style A fill:#e1f5fe
    style B fill:#f3e5f5
    style C fill:#e8f5e8
    style D fill:#fff3e0

2. Isaac ROS Pipeline Architecture

graph LR
    subgraph "Input Sensors"
        A[Camera] --> A1[Raw Image]
        B[LiDAR] --> B1[Point Cloud]
        C[IMU] --> C1[Inertial Data]
    end

    subgraph "Isaac ROS Processing Nodes"
        A1 --> D[Image Proc<br/>Resize + Rectify]
        B1 --> E[Point Cloud<br/>Utils]
        C1 --> F[Inertial Proc<br/>Filtering]

        D --> G[DetectNet<br/>Object Detection]
        E --> H[Segmentation<br/>3D Objects]
        G --> I[Visual SLAM<br/>Pose Estimation]
        H --> J[Perception<br/>Fusion]
    end

    subgraph "Navigation & Control"
        I --> K[Nav2<br/>Path Planning]
        J --> L[Control<br/>Algorithms]
        K --> M[Path<br/>Following]
        L --> N[Velocity<br/>Commands]
    end

    style D fill:#e3f2fd
    style G fill:#e8f5e8
    style I fill:#fff3e0
    style K fill:#fce4ec
    style N fill:#ffebee

3. Isaac Sim to Isaac ROS Integration

graph LR
    subgraph "Isaac Sim"
        A[USD Scene] --> B[Omniverse USD]
        B --> C[Physics Simulation]
        C --> D[Sensor Simulation]
    end

    subgraph "ROS Bridge"
        E[ROS Bridge Extension] --> F[Topic Publishers]
        F --> G[Service Servers]
        G --> H[Action Servers]
    end

    subgraph "Isaac ROS Nodes"
        I[Image Processing] --> J[Object Detection]
        K[Point Cloud Proc] --> L[Visual SLAM]
        M[Deep Learning] --> N[Perception Fusion]
    end

    subgraph "Navigation Stack"
        O[AMCL] --> P[Costmap 2D]
        Q[Global Planner] --> R[Local Planner]
        S[Controller] --> T[Recovery]
    end

    D --> E
    F --> I
    F --> K
    F --> M
    J --> O
    L --> P
    N --> Q
    P --> R
    R --> S
    S --> T

    style A fill:#e1f5fe
    style E fill:#f3e5f5
    style I fill:#e8f5e8
    style O fill:#fff3e0

4. Isaac Sim Workflow

sequenceDiagram
    participant D as Developer
    participant IS as Isaac Sim
    participant ROS as ROS 2
    participant IR as Isaac ROS
    participant NV as NVIDIA GPU

    D->>IS: Load Robot Model (USD)
    IS->>NV: Physics Simulation
    IS->>IS: Sensor Simulation
    IS->>ROS: Publish Sensor Data
    ROS->>IR: Trigger Isaac ROS Nodes
    IR->>NV: GPU-Accelerated Processing
    IR->>ROS: Processed Perception Data
    ROS->>ROS: Navigation Planning
    ROS->>IS: Send Control Commands
    IS->>IS: Update Robot State

5. Isaac ROS Perception Pipeline

graph TD
    A[Raw Sensor Data] --> B[Preprocessing]
    B --> C{Data Type?}

    C -->|Image| D[Image Rectification]
    C -->|LiDAR| E[Point Cloud Filtering]
    C -->|IMU| F[Inertial Filtering]

    D --> G[Tensor Conversion]
    E --> G
    F --> G

    G --> H{Processing Type}

    H -->|Detection| I[DetectNet<br/>TensorRT]
    H -->|Segmentation| J[SegmentNet<br/>TensorRT]
    H -->|Depth| K[DepthNet<br/>TensorRT]
    H -->|SLAM| L[Visual SLAM<br/>Optimized]

    I --> M[Perception Fusion]
    J --> M
    K --> M
    L --> M

    M --> N[ROS Message<br/>Formatting]
    N --> O[Navigation Stack<br/>Integration]

    style B fill:#e3f2fd
    style G fill:#e8f5e8
    style M fill:#f3e5f5
    style O fill:#fff3e0