Project number
25501
Organization
Craig M. Berge Dean's Fund
Offering
ENGR498-S2025-F2025
Engineered to address challenges faced by elderly and disabled individuals, the final design is a robotic tug that attaches to a standard 95-gallon garbage can without drastically modifying its structure. The system integrates a Raspberry Pi 5 processor running ROS 2 to coordinate GPS, mmWave radar, and an AI camera for autonomous navigation. A linear actuator-based coupling mechanism securely attaches to the can, while a robust drive system allows stable operation on varied surfaces and inclines up to 15 degrees.
Extensive testing confirmed that the system achieves a 90% success rate in attachment, obstacle avoidance within one second, and navigation accuracy of 1.5 meters or better across 400-foot round trips. The mobile/web application enables users to set pickup schedules, define paths via waypoints and receive real-time status alerts. The design preserves manual maneuverability and standard garbage truck compatibility, ensuring seamless integration with existing collection processes. The Autonomous Garbage Can provides a reliable, cost-effective solution that enhances accessibility and convenience for homeowners.
Extensive testing confirmed that the system achieves a 90% success rate in attachment, obstacle avoidance within one second, and navigation accuracy of 1.5 meters or better across 400-foot round trips. The mobile/web application enables users to set pickup schedules, define paths via waypoints and receive real-time status alerts. The design preserves manual maneuverability and standard garbage truck compatibility, ensuring seamless integration with existing collection processes. The Autonomous Garbage Can provides a reliable, cost-effective solution that enhances accessibility and convenience for homeowners.