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Spot Robot Command Center

A modern, professional web-based UI command center for controlling Boston Dynamics' Spot robot with real-time camera feeds, advanced controls, and secure authentication.

Quickstart (3 Minutes)

# 1) Backend
cd backend
source venv/bin/activate  # On Windows: venv\Scripts\activate
python app.py

# 2) Frontend (new terminal)
cd frontend
npm start

Open http://localhost:3000 → Login with your configured credentials → Power On → Stand → Move.

Features

Real-time Camera Feeds - Stream video from multiple robot cameras simultaneously
🎮 Advanced Robot Control - Stand, sit, move, and manipulate with intuitive interface
🦾 Arm Control - Reach to positions, rotate end-effector, stow/unstow arm
Gripper Control - Open, close, and precisely control gripper position
📊 Live Telemetry Dashboard - Monitor battery, uptime, distance traveled, and command count
🔐 JWT Authentication - Secure token-based user authentication
⌨️ Keyboard & UI Controls - Intuitive keyboard shortcuts (WASD) and button controls
🎨 Professional Dark UI - Modern interface with responsive design
🐳 Docker & Kubernetes Ready - Complete containerization for easy deployment
🔒 Production-Ready - SSL/TLS, health checks, logging, and monitoring support

Project Structure

SpotCommandCenter/
├── backend/
│   ├── app.py                    # Flask REST API server
│   ├── robot_controller.py       # Spot SDK integration
│   ├── arm_controller.py         # Arm & gripper control
│   ├── camera_stream.py          # Camera streaming handler
│   ├── auth.py                   # JWT authentication
│   ├── config.py                 # Configuration settings
│   ├── requirements.txt          # Python dependencies
│   ├── Dockerfile                # Docker configuration
│   ├── .env.example              # Environment template
│   └── .dockerignore
│
├── frontend/
│   ├── public/
│   │   └── index.html
│   ├── src/
│   │   ├── components/
│   │   │   ├── Login.js          # Authentication UI
│   │   │   ├── CameraFeed.js     # Video streaming
│   │   │   ├── ControlPanel.js   # Movement controls
│   │   │   ├── ArmControl.js     # Arm manipulation
│   │   │   ├── GripperControl.js # Gripper control
│   │   │   ├── RobotStatus.js    # Status display
│   │   │   ├── Telemetry.js      # Metrics dashboard
│   │   │   ├── ConnectionManager.js
│   │   │   └── (CSS files)
│   │   ├── App.js
│   │   ├── App.css
│   │   └── index.js
│   ├── package.json
│   ├── Dockerfile
│   └── .dockerignore
│
├── docker/
│   └── nginx.conf                # Nginx proxy configuration
│
├── docker-compose.yml            # Full stack orchestration
├── README.md                      # This file
├── DEPLOYMENT.md                 # Deployment & production guide
├── API_DOCS.md                   # API reference
├── setup.sh / setup.bat          # Quick setup scripts
└── .gitignore

Installation

Prerequisites

  • Python 3.8+ - For the backend
  • Node.js 16+ - For the frontend
  • Boston Dynamics Spot SDK 4.1.1+ - For robot communication
  • Docker & Docker Compose (optional) - For containerized deployment
  • Spot Robot - Connected to your network (or use mock mode)

Step-by-Step Start and Connect

  1. Set robot credentials
  • Copy the env template:
    cp backend/.env.example backend/.env
  • Edit backend/.env and set:
    • ROBOT_IP
    • ROBOT_USERNAME
    • ROBOT_PASSWORD
  1. Start the backend
cd backend
source venv/bin/activate  # On Windows: venv\Scripts\activate
python app.py
  1. Start the frontend (new terminal)
cd frontend
npm start
  1. Open the UI
  1. Connect and drive
  • Log in with the credentials configured in backend/.env
  • Click Power On
  • Click Stand
  • Use the on-screen arrows or W/A/S/D to move
  • Toggle Obstacle Avoidance as needed in the Safety section

Quick Start (Development)

Option 1: Automated Setup

Linux/macOS:

chmod +x setup.sh
./setup.sh

Windows:

setup.bat

Option 2: Manual Setup

Backend:

cd backend
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate
pip install -r requirements.txt
cp .env.example .env
# Edit .env with your settings
python app.py

Frontend (in another terminal):

cd frontend
npm install
npm start

Then open http://localhost:3000 in your browser.

Docker Deployment

Quick start:

docker-compose up -d

First time setup:

cp backend/.env.example backend/.env
# Edit backend/.env with your robot configuration

# On Windows, you may need to create SSL certificates:
mkdir docker/ssl
# Create self-signed cert or copy your existing cert

docker-compose up -d

Access the application:

Configuration

Environment Variables (.env)

Robot Settings:

ROBOT_IP=192.168.1.100
ROBOT_USERNAME=admin
ROBOT_PASSWORD=your_password

Server Settings:

DEBUG=False
HOST=0.0.0.0
SERVER_PORT=5000
FLASK_ENV=production

Security:

JWT_SECRET=your-super-secret-key-minimum-32-characters
JWT_EXPIRATION_HOURS=24

Camera:

CAMERA_QUALITY=80
CAMERA_MAX_FPS=30
STREAM_FORMAT=mjpeg

Usage

Logging In

Credentials are configured via environment variables in backend/.env:

  • APP_USER_ADMIN — sets the admin password
  • APP_USER_OPERATOR — sets the operator password

See backend/.env.example for the full template.

Robot Control

Stance:

  • Stand up | Sit down

Movement:

  • W/↑ = Forward
  • S/↓ = Backward
  • A/← = Strafe left
  • D/→ = Strafe right
  • Q = Rotate left
  • E = Rotate right
  • Space = Stop

Arm Control:

  • Set X, Y, Z coordinates
  • Adjust end-effector rotation
  • Stow/unstow arm positions

Gripper:

  • Slider for precise position control (0-100%)
  • Quick open/close buttons

Telemetry Dashboard

Real-time metrics:

  • Battery percentage with visual bar
  • System uptime
  • Distance traveled
  • Commands executed

API Reference

Authentication

POST /api/auth/login
{
  "username": "admin",
  "password": "<your_password>"
}

# Returns:
{
  "token": "eyJ...",
  "user": "admin"
}

# Use token in Authorization header:
Authorization: Bearer eyJ...

Robot Control

GET  /api/robot/state              # Get battery, power state
POST /api/robot/stand              # Stand command
POST /api/robot/sit                # Sit command
POST /api/robot/move               # Move with velocity
POST /api/robot/stop               # Stop movement

Arm & Gripper

POST /api/robot/arm/reach          # Reach to position
POST /api/robot/arm/rotate         # Rotate end-effector
POST /api/robot/arm/stow           # Stow arm
POST /api/robot/arm/unstow         # Unstow arm
POST /api/robot/gripper/open       # Open gripper
POST /api/robot/gripper/close      # Close gripper
POST /api/robot/gripper/set        # Set position (0-100%)
GET  /api/robot/gripper/position   # Get current position

Cameras & Streaming

GET  /api/cameras                  # List available cameras
GET  /api/camera/{name}/image      # Get single frame
GET  /api/camera/{name}/stream     # MJPEG video stream

Telemetry

GET  /api/robot/telemetry          # Get all metrics

See API_DOCS.md for complete API reference with examples.

Deployment

Development Build

cd frontend
npm start

Production Build

cd frontend
npm run build
# Serves on http://localhost:5000

Docker Production

See DEPLOYMENT.md for:

  • Docker Compose setup
  • AWS (ECS, Lightsail, EC2)
  • Heroku deployment
  • Google Cloud Run
  • Azure Container Instances
  • SSL/TLS configuration
  • Security best practices
  • Monitoring & logging

Security

Authentication

  • JWT token-based authentication
  • Secure password hashing
  • Token expiration (24 hours default)
  • Protected API endpoints

Network Security

  • HTTPS/SSL support (production)
  • Nginx reverse proxy with security headers
  • CORS protection
  • Rate limiting ready

Credentials

⚠️ IMPORTANT: Change default credentials before production deployment!

Edit backend/auth.py:

DEFAULT_USERS = {
    'admin': 'your_secure_password_here',
    'operator': 'operator_secure_password',
}

For database-backed authentication (recommended for production):

  • Implement bcrypt password hashing
  • Store credentials in encrypted database
  • Implement user roles and permissions

Troubleshooting

Can't connect to robot

  1. Verify robot IP: ping <robot-ip>
  2. Check credentials in .env
  3. Ensure robot is powered on
  4. Verify network connectivity

Mock mode

The app runs in harmless mock mode if:

  • Spot SDK isn't installed
  • Robot IP is unreachable
  • Credentials are incorrect

Perfect for UI testing!

Port already in use

# Linux/macOS - kill process on port 5000
sudo lsof -i :5000
sudo kill -9 <PID>

# Windows
netstat -ano | findstr :5000
taskkill /PID <PID> /F

Docker issues

# View logs
docker-compose logs -f backend
docker-compose logs -f frontend

# Rebuild everything
docker-compose down
docker-compose up -d --build

Development

Adding Features

  1. Backend:

    • Add routes to app.py
    • Extend robot_controller.py
    • Update requirements.txt
  2. Frontend:

    • Create components in src/components/
    • Add corresponding CSS
    • Update App.js to include new component
  3. Testing:

    • Backend: pytest (if added)
    • Frontend: npm test

Project Statistics

  • Backend: ~800 lines of Python
  • Frontend: ~600 lines of React
  • Styling: ~1000 lines of CSS
  • Documentation: Complete API & deployment guides
  • Components: 8 React components
  • API Endpoints: 30+ REST endpoints

Performance Metrics

  • Connection establishment: 500-2000ms
  • State update latency: 100-500ms
  • Camera frame latency: 50-200ms (MJPEG)
  • Typical bandwidth: 2-5 Mbps per camera

Known Limitations

  • WebRTC streams (planned v2.0)
  • Robot recording/playback (planned v1.2)
  • Advanced arm kinematics (future)
  • Multi-robot coordination (future)

System Requirements

Minimum:

  • CPU: 2 cores
  • RAM: 2GB
  • Storage: 10GB
  • Network: 10 Mbps

Recommended (Production):

  • CPU: 4+ cores
  • RAM: 8GB+
  • Storage: 50GB+
  • Network: 100+ Mbps

Version History

  • v2.0 (Current) - Added authentication, arm control, gripper control, Docker, deployment guides
  • v1.0 - Initial release with basic controls and camera streaming

License

This project uses the Boston Dynamics Spot SDK which is governed by the BDSDK License.

See spot_sdk_v4.1.1/spot-sdk-4.1.1/LICENSE for details.

Support

Authors

Created for comprehensive control of Boston Dynamics' Spot robot through an intuitive web interface.


Last Updated: February 19, 2026
SDK Version: 4.1.1
Status: Production Ready ✅

Project Structure

SpotCommandCenter/
├── backend/                    # Python Flask Server
│   ├── app.py                 # Main Flask application
│   ├── robot_controller.py    # Spot SDK integration
│   ├── camera_stream.py       # Camera streaming handler
│   ├── config.py              # Configuration settings
│   ├── requirements.txt       # Python dependencies
│   └── .env.example           # Environment variables template
│
└── frontend/                  # React Web UI
    ├── public/
    │   └── index.html         # HTML entry point
    ├── src/
    │   ├── App.js            # Main React component
    │   ├── App.css           # Main styles
    │   ├── index.js          # React DOM render
    │   ├── index.css         # Global styles
    │   └── components/       # React components
    │       ├── CameraFeed.js
    │       ├── ControlPanel.js
    │       ├── RobotStatus.js
    │       ├── ConnectionManager.js
    │       └── (respective CSS files)
    └── package.json          # Node dependencies

Installation

Prerequisites

  • Python 3.8+ - For the backend
  • Node.js 16+ - For the frontend
  • Boston Dynamics Spot SDK 4.1.1+ - For robot communication
  • Spot Robot - Connected to your network (or mock mode for testing)

Backend Setup

  1. Install Python dependencies:
cd backend
pip install -r requirements.txt
  1. Create environment configuration:
cp .env.example .env
  1. Edit .env with your robot's details:
ROBOT_IP=192.168.1.100          # Your Spot robot's IP address
ROBOT_USERNAME=admin             # Default admin username
ROBOT_PASSWORD=your_password     # Your admin password
SERVER_PORT=5000
DEBUG=True

Note: If you don't have a physical Spot robot, the app will run in mock mode automatically. This is great for testing the UI!

Frontend Setup

  1. Install Node dependencies:
cd frontend
npm install
  1. Build the React frontend:
npm run build

This creates an optimized build in the frontend/build directory.

Running the Application

Option 1: Development Mode

Terminal 1 - Backend:

cd backend
python app.py

Terminal 2 - Frontend (React dev server):

cd frontend
npm start

Then open http://localhost:3000 in your browser.

Option 2: Production Mode

cd backend
python app.py

Then open http://localhost:5000 in your browser.

The React build is served directly by Flask.

Usage

Connecting to Your Robot

  1. Enter your robot's IP address (e.g., 192.168.1.100 or spot)
  2. Click Connect
  3. Once connected, you'll see:
    • Real-time camera feeds
    • Robot status (battery, power state)
    • Control panel

Controlling the Robot

Stance Control:

  • Stand - Robot stands up
  • Sit - Robot sits down

Movement:

  • Use W/A/S/D keys or Arrow Keys to move
    • W / ↑ = Move forward
    • S / ↓ = Move backward
    • A / ← = Strafe left
    • D / → = Strafe right
    • Q = Rotate left (counterclockwise)
    • E = Rotate right (clockwise)
  • Click movement buttons on the control panel
  • Space Bar = Stop

Camera Feeds

  • Select different cameras from the dropdown menu
  • Real-time streaming updates from all robot cameras
  • Currently supports: Front, back, left, right RGB cameras

API Reference

Connection Endpoints

POST /api/robot/connect           - Connect to a specific robot IP
POST /api/robot/disconnect        - Disconnect from robot
GET  /api/robot/status            - Get connection status

Robot State Endpoints

GET  /api/robot/state             - Get battery, power, etc.

Control Endpoints

POST /api/robot/stand             - Stand command
POST /api/robot/sit               - Sit command
POST /api/robot/move              - Move with velocity
POST /api/robot/stop              - Stop movement

Move Request Body:

{
  "vx": 0.5,      // Forward velocity (m/s)
  "vy": -0.5,     // Lateral velocity (m/s)
  "v_rot": 0.0    // Rotation velocity (rad/s)
}

Camera Endpoints

GET  /api/cameras                 - List available cameras
GET  /api/camera/<name>/image     - Get single JPEG frame
GET  /api/camera/<name>/stream    - MJPEG stream

Configuration

Backend Configuration (.env)

Setting Default Description
ROBOT_IP 192.168.1.100 Robot's IP address
ROBOT_USERNAME admin Authentication username
ROBOT_PASSWORD password Authentication password
SERVER_PORT 5000 Flask server port
DEBUG True Debug mode
CAMERA_QUALITY 80 JPEG quality (0-100)
CAMERA_MAX_FPS 30 Maximum camera FPS
STREAM_FORMAT mjpeg Stream format (mjpeg/h264)

Troubleshooting

Can't Connect to Robot

  • Verify the robot's IP address
  • Ensure both your computer and robot are on the same network
  • Check robot credentials (username/password)
  • Try pinging the robot: ping <robot-ip>

Camera Feed Not Loading

  • The app starts in mock mode if SDK is unavailable
  • Check that the camera name is correct
  • Verify robot connectivity
  • Check server logs for errors

Port Already in Use

# Change ports in .env:
SERVER_PORT=5001

ModuleNotFoundError for bosdyn

The app will automatically run in MockSpotRobotController mode, which is perfect for UI testing without a real robot.

Development

Adding New Features

  1. Backend features - Add routes to app.py
  2. Robot commands - Extend robot_controller.py
  3. UI components - Create new React components in frontend/src/components/
  4. Styling - Add corresponding .css files

Running Tests

# Backend tests (if added)
cd backend
pytest

# Frontend tests (if added)
cd frontend
npm test

System Requirements

  • Minimum CPU: Intel i5 or equivalent
  • Minimum RAM: 4 GB
  • Network: 10 Mbps+ connection recommended for stable video streaming
  • Browser: Chrome 90+, Firefox 88+, Safari 14+

Performance Notes

  • Camera streams run at max 30 FPS (configurable)
  • Each camera connection uses ~2-5 Mbps depending on quality
  • Multiple concurrent connections are supported
  • Mock mode has no camera feed but is 100% responsive

Known Limitations

  • WebRTC streaming not yet implemented (using MJPEG)
  • Arm control not yet implemented (planned for v1.1)
  • Gripper control not yet implemented (planned for v1.1)
  • No recording functionality yet

Future Enhancements (v1.1+)

  • Arm end-effector control
  • Gripper open/close
  • Video recording and playback
  • WebRTC streaming for lower latency
  • Advanced telemetry dashboard
  • Robot path visualization
  • Multi-robot support
  • User authentication
  • Mobile responsive controls

License

This project uses the Boston Dynamics Spot SDK which is governed by the BDSDK License. See spot_sdk_v4.1.1/spot-sdk-4.1.1/LICENSE for details.

Support & Documentation

Contributing

Contributions are welcome! Feel free to open issues or submit pull requests.

Author

Created for managing and controlling Boston Dynamics' Spot robot through an intuitive web interface.


Last Updated: February 19, 2026
SDK Version: 4.1.1
Status: Active Development

About

Full-stack control dashboard for Boston Dynamics Spot robot — Flask + React + Spot SDK

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