Welcome to the Design for Robotics Evolution and Advanced Manufacturing (DREAM) lab! The DREAM lab thrust research on the areas of design, robotics, and manufacturing. Specifically, we aim to study the problems occurring in design for customization, personalized product design, design for additive manufacturing, and robotic-assisted manufacturing by using computational methodologies such as generative design, geometry processing, data analytics, and geometric deep learning. The research objective is to establish a computational framework and basis for the smart manufacturing systems.
Smart manufacturing aims to convert data acquired across the entire product lifecycle into manufacturing intelligence. Towards a customer demand-dynamic, real-time information-based manufacturing system, advanced manufacturing exemplified by additive manufacturing (AM) served as a vanguard implementation for smart manufacturing. However, with the integration of cyber-manufacturing, the internet of things (IoT), and artificial intelligence (AI), heterogeneous data are generated in all stages of manufacturing such as the design and fabrication process. The high volume, variety, and velocity of such data impede the automation efficiency and the consistency of product quality. Hence, there is an increasing need to establish a systematic computational analysis framework for dense manufacturing data to achieve informed decisions and a responsive system. To address this grand challenge, the DREAM lab focuses on data-driven design and data analytics for process control in AM to envision a “smart” manufacturing system equipped with cyber-physic techniques, which provides a computational framework and basis for the smart manufacturing system.