Research Areas

Physical Intelligence for Robotics

We focus on the development of advanced algorithms and AI models for physical intelligence for robotics. By integrating multimodal perception, natural language understanding, and intelligent manipulations, we aim to achieve autonomous and intelligent execution of complex manipulation tasks in unstructured real-world environments.

Scientific Machine Learning

We develop scientific machine learning algorithms that integrate data-driven approaches with physics-based modeling to accelerate discovery, enhance prediction accuracy, and enable efficient solutions across diverse scientific and engineering domains.

Physical Modeling and Simulations

We develop physical models and simulation methods for engineering materials and structures to efficiently and accurately capture the physical dynamics of defect initiation, evolution, and their effects on performance and reliability.