Our Mission
Our mission is to advance intelligent systems that perceive, understand, and interact with the physical world. We develop generative and predictive models to connect digital representations of dynamic environments with real-world autonomy. Our research brings these methods to transportation and robotics, using digital twins to investigate how autonomous systems can learn, make decisions, and collaborate with people.
Our research areas include:
- Autonomous Driving
- Robotics
- Digital Twins
- Human–Autonomy Teaming
- Intelligent Transportation Systems
Announcements
- We invite submissions to IEEE MOST 2027 on advances in mobility operations, services, and technologies.
- Submit your work on world modeling and policy learning for autonomous driving to our WACV 2027 WAM-AD Workshop.
Open Positions
Our lab is currently seeking candidates for various open positions, including Postdoc Scholars, PhD Students, and Visiting Scholars. If you are interested, please submit your application to https://forms.gle/MkJRAqn59KzTKamP8.
Featured Videos
LLM4AD: Large Language Models for Autonomous Driving
A demo shows the advanced features of our Talk2Drive framework.
Sponsors
We gratefully acknowledge the support of our sponsors.
