BATT CAVE faculty conduct research on modeling, control, estimation, and planning for autonomous vehicles, including ground, air, and sea-based platforms and related cyber-physical systems.
Research Areas
- Connected and autonomous vehicles and traffic network optimization
- Human-machine interaction and haptic shared control
- Marine robotics in environmental monitoring and naval applications
- Multi-vehicle coordination for environment mapping and search
- Path planning for autonomous and adaptive data collection
- Trajectory optimization via nonlinear optimal control
Project Examples
- Adaptive sampling of a stationary Gaussian spatial process by a team of robots with heterogeneous dynamics and measurement noise variance
- Planning visual inspection tours for a 3D Dubins airplane model in an urban environment
- Model-predictive control of a network of autonomous quadrotors in an uncertain wind-field
Facilities
