RoboCup@Home
Open Learning
Semester programme:Open Learning/Innovation
Zoé Josef Despo Maria Spyrou
Aina Andrulis
Tim van Kol
Cédric Kruizinga
Quinten van der Valk
Project description
The goal of the project is to design a robot that will be able to assist visually impaired people with organizing and storing their groceries in a smart and efficient manner.
The robot should be capable of recognizing different types of grocery items, correctly identifying and classifying them based on their category. After detecting the target product, the robot must move towards the item and then carefully pick it up from the table or other defined workspace. While navigating to the correct pickup position, the robot must avoid obstacles to ensure safety.
After picking up the item, the robotic arm must then navigate to the pantry shelf and place the product in the appropriate section while making sure to group similar items together and keep track of what has already been sorted, and what remains.
Context
The project aims to create a functional, accessible robotic solution that enhances the independence of visually impaired users in managing their groceries, fulfilling both technical and user-centric goals within the RoboCup@Home challenge.
Results
The most important outcomes of this project are the successful development of a robotic arm system that can autonomously recognize, classify, and sort grocery items to assist visually impaired individuals, as well as the creation of a vision system for real-time object detection and manipulation. The project will deliver both a physical and simulated robotic arm capable of completing the RoboCup@Home "Sorting Groceries" task, ensuring that the solution is accessible and operable through a simple activation device. Additional key outcomes include thorough documentation, adherence to coding standards, and a reproducible deployment process, all aimed at ensuring usability and maintainability for stakeholders.