This project showcases the research, design, and implementation of a Smart Garbage Collection System powered by autonomous robots. The system addresses modern-day waste management challenges by employing a fleet of robots capable of automatically collecting and segregating garbage in public spaces. The solution leverages AI, object classification, and autonomous navigation to enhance efficiency and sustainability in waste management.
- Autonomous Waste Collection: Robots autonomously navigate and collect garbage from public areas.
- Object Classification: Integrated AI for recognizing and segregating different types of waste.
- Real-Time Navigation: Advanced autonomous navigation module to avoid obstacles and operate efficiently.
This repository includes:
- Robot Control System: The core module managing the robot’s movements and tasks.
- Object Classifier: AI module for classifying waste into recyclable and non-recyclable categories.
- Autonomous Navigation: Module to enable real-time, obstacle-free navigation in dynamic environments.
This repository is a valuable resource for:
- Researchers & Developers: Dive into the world of autonomous robots and intelligent waste management systems.
- Students & Educators: Gain insights into the intersection of robotics, AI, and sustainable technologies.
Explore our autonomous robot in action:
The sequence diagram provides a visual breakdown of the robot's operational flow from waste detection to collection and segregation.
We welcome contributions to this project. You can contribute by:
- Reporting bugs or suggesting improvements.
- Adding new features or enhancements.
- Providing feedback on documentation or user experience.
This project is open-sourced under the MIT License.
For questions, feedback, or collaboration inquiries, please reach out to Nihal Nihalani at:
📧 [email protected]