Research in our group can be roughly divided into the following areas:
- Autonomous Vehicles,
- Transportation Systems,
- Theoretical foundations.
A brief description of these areas with some of the ongoing research projects follows.
The goal of this research effort is to enable vehicles such as cars and airplanes to safely and reliably drive/fly themselves in an uncertain, dynamic world (public roads, national airspace).
Motion planning and decision making
Real-time algorithms for control in a complex environment, shared with human and robotic actors
Regulatory compliance, verification and validation
Methods and tools to design provably correct control systems.
Control at the boundaries of the operational envelope – emergency handling, racing, acrobatics
Control of Transportation Systems
The goal of this research effort is to develop advanced control and optimization methods to enable new concepts for large-scale transportation systems.
Mobility on demand
Manage fleets of 100,000+ autonomous vehicles to provide on-demand mobility, trading off quality of service and operational costs.
Robustness and efficiency in large-scale systems
Design distributed control systems that provably maximize throughput, minimize delays, and increase resilience of transportation networks.
There is nothing as practical as a good theory. We support our applied research projects above by advancing the state of the art in foundational areas such as
- Control Theory
- Algorithmic Robotics
- System Design and Optimization