Welcome to the UCLA Mobility Lab!

We are The UCLA Mobility Lab, dedicated to harnessing system theories and tools, such as artificial intelligence, control theory, robotics, machine learning, and optimization, to innovate and develop advanced mobility technologies and solutions for smart cities, particularly intelligent vehicular and transportation systems. We leverage the university environment and work with external partners to perform research and development and prepare future workforce for competitive advantage in the following areas:

  • Advanced vehicular technologies, vehicle automation, and electrification
  • Urban analytics for future mobility and smart cities
  • Resilient, secure, smart transportation and logistics infrastructure

“To pursue the discoveries and inventions for the better of humankind, to work on the frontiers of applied knowledge, and to communicate to the next generation the excitement of science.”

Teresa A. Sullivan

8th President, University of Virginia

OUR RESEARCH INITIATIVES

UCLA/Westwood as a Living Lab

Leveraging UCLA smart infrastructure and Digital Westwood as a real-world testbed to pilot and validate innovative mobility technologies.

Edge AI for Robotics &
Infrastructure

Deploying AI models on edge hardware for real-time control of mobile robots and intelligent infrastructure, enabling on-device sensing, inference, and decision-making.

Multimodal Embodied AI

Seamlessly fusing language, vision, and diverse sensor streams so embodied agents can navigate environments and carry out human instructions with robust situational awareness.

Urban Digital Twins &
Dynamic Simulation

High-fidelity city digital twins recreate people, vehicles, and infrastructure, enabling scenario generation and realistic testing of next generation mobility concepts in a reproducible, risk-free environment.

Urban AI and Resilient Mobility
Analytics

Generative models trained on multi-source, cross-domain mobility data forecast where, when, and how people will travel, guiding adaptive strategies that keep urban systems efficient and safe during disruptions and growth.

AI Agent & Network Mobility Intelligence

Develop AI agents embedded in dynamic transportation networks to learn, adapt, and optimize urban mobility.