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Revolutionizing waste sorting in school cafeterias through robotics. Our automated system ensures accurate sorting, reduces contamination, and promotes eco-friendly habits among students.
Students often struggle with proper waste sorting, leading to contamination of recyclables and compost. This increases operational costs and hinders recycling processes.
An automated system that accurately classifies and sorts cafeteria waste, using advanced robotics and computer vision to ensure proper waste management.
Reduced waste contamination, lower operational costs, and promotion of eco-friendly habits among students, supporting schools' environmental goals.
Testing & Integration
Mechanical Engineering major interested in biomimicry robotic design.
Testing & Integration
CS and DS major interested in robotic manipulation, as well as machine learning.
Planning & Integration
EECS major interested in biomedical applications of robotics.
Sensing & Integration
CS major interested in robot learning and manipulation-based tasks.