Research Areas

Defect-Aware Digital Twin

We aim to develop defect-aware predictive digital twins for diverse engineering applications by creating advanced models and simulations that represent defect initiation, evolution, and their impact on material performance.

Scientific Machine Learning

We develop advanced scientific machine learning algorithms for a wide range of applications.

Physical Intelligence for Robotics

We focus on the development of advanced algorithms and models for physical intelligence for robotics. By integrating multimodal perception (via Apple Vision Pro), natural language understanding, and intelligent manipulations on the Mobile ALOHA platform, we aim to achieve autonomous and intelligent execution of manipulation tasks in unstructured real-world environments.