Waldo is a 2D map client application designed to visualize and manage robot fleets using AWS IoT RoboRunner. It provides real-time spatial representations of robotic operations, enabling efficient monitoring and coordination within industrial environments.

• Real-Time Visualization: Rendering dynamic positions and movements of multiple robots simultaneously.
• Scalability: Supporting various robot types and fleet sizes without compromising performance.
• Integration: Seamlessly interfacing with AWS IoT RoboRunner's APIs for data retrieval and command execution.

• WebSocket Communication: Implemented WebSocket connections to receive real-time updates on robot statuses and locations.
• Efficient Rendering Engine: Developed a lightweight rendering engine capable of handling numerous entities on the map concurrently.
• Modular Integration Layer: Created an abstraction layer to facilitate easy integration with AWS IoT RoboRunner's APIs.

1. Data Ingestion: Utilized AWS IoT RoboRunner's data streams to gather real-time information on robot positions and tasks.
2. Map Rendering: Leveraged HTML5 Canvas and JavaScript to render a 2D map displaying robot locations and trajectories.
3. User Interaction: Enabled features such as zooming, panning, and robot selection to enhance user experience.
4. Command Interface: Integrated controls allowing users to send commands to individual robots directly from the map interface.

• AWS IoT RoboRunner: Provided the backend infrastructure for robot fleet management. :contentReference[oaicite:0]{index=0}
• WebSockets: Facilitated real-time communication between the client and server.
• HTML5 Canvas: Enabled efficient 2D rendering within web browsers.
• JavaScript Frameworks: Utilized React.js for building a responsive user interface.

Waldo enhances operational efficiency by providing a real-time, interactive visualization tool for managing robot fleets through AWS IoT RoboRunner. Its scalable design and seamless integration capabilities make it a valuable asset for industrial automation.