The project will develop a multi-sensor-driven artificial intelligence and robotic decision-making process to design of waste detection/classification and grasp estimation in real-time for irregular construction waste.
Project Objectives:
Developing a multi-sensor-driven deep learning model for CDW identification and classification;
Developing a robotic intelligence model for CDW sorting using self-supervised learning and digital-twin techniques;
