Wall-E is a smart simulation and monitoring system that manages a fleet of autonomous agricultural rovers using Webots Simulation and a custom backend with real-time dashboards. It continuously fetches rover data every 2 seconds and displays metrics like GPS location, battery, soil moisture, and temperature.
Each rover is assigned a dynamic session ID to sync individual data streams. This setup is ideal for precision agriculture, research, and scalable field automation projects.
- Simulate and monitor multiple rovers in real-time
- Fetch rover data every 2 seconds from the backend
- Dynamic session-based data handling
- Monitor battery, GPS, soil moisture, and temperature
- Continuous logging for analytics
- Automated alerts via N8N workflows
- Webots – Robot simulation platform for autonomous fleets
- Python – Backend scripting and data handling
- Flask – API server to serve rover data
- Subprocess – Launch and control multiple simulation processes
- REST API – Fetch rover data in real-time
- Next.js – Frontend framework for live monitoring dashboard
- Tailwind CSS – Modern styling for responsive UI
- TypeScript – Strongly-typed frontend logic
- N8N – Workflow automation for real-time notifications
- Webots: Download from Cyberbotics
- Python 3.x
Install required Python packages:
pip install flask requests opencvClone the repository and set up your environment:
git clone https://github.com/DineshMN1/Wall-E.git
cd Wall-E| Name | GitHub Profile |
|---|---|
| Dinesh M | @DineshMN1 |
| Divaesh Nandaa | @Divaesh07 |
| Hakesh M | @Hakesh0 |
| Dhanush D | @Worldofdhanush |
This project is licensed under the MIT License.
If you have questions or want to contribute, feel free to open an issue or contact us through our GitHub profiles.