Your browser is unsupported

We recommend using the latest version of IE11, Edge, Chrome, Firefox or Safari.

Smarture lab not only focuses on improving the existing manufacturing capabilities through establishing new theoretical frameworks but also aims to create new manufacturing capabilities that did not exist before. Our research is focused on the interplay of smart, sustainable, and advanced manufacturing, addresses the different levels of product, process, and system, and spans over many topics including robotics, additive manufacturing, future electronics, cyber-physical systems, product design, and healthcare. A few of our research directions are highlighted below:

Physics-informed Learning and Inference for Smart Additive Manufacturing Heading link

Deep unfolding image

Additive manufacturing (AM) is a powerful emerging technology for the manufacturing of products with complex geometries using a variety of materials. However, despite the promising potential, due to the complex process fluctuations and material variability, process control towards ensuring product quality remains a huge challenge. Artificial intelligence (AI) has provided enormous prospects in additive manufacturing toward smarter design, process control, and quality assurance.  We work on new frontiers and applications of AI and advanced data analytics in AM, especially physics-informed AI to enhance model interpretability, generalizability, and performance.

Multi-Robotic Manufacturing and Collaborative Robots Heading link

Energy map

Industrial robots are important components of today’s manufacturing systems and are adopted in a wide variety of applications including manufacturing, inspection, assembly, recycling, and material handling. Next-generation manufacturing consists of smart collaborative robots that can safely and efficiently work together with each other as well as with human operators towards a specific goal. We work on creating novel smart quality-aware collaborative robotic platforms for faster, safer, and more efficient manufacturing.