Mission Areas
Research Topics
- Artificial intelligence
- Automated vehicles
- Autonomous systems
- Command and control
- Driving simulation
- Flight research--avionics
- Flight testing
- Robotics
- Satellite remote sensing,
- UAV research
The Cooperative Autonomous Systems (CAS) Lab develops control algorithmic solutions for the safe deployment of autonomous aerial, marine, and ground vehicles. An excellent research environment allows for the design, implementation, and testing of multiple autonomous system planning, control, and collision avoidance algorithms, and for the experimental validation of these algorithms.
The CAS Lab focuses on controlling multiple autonomous vehicles in real time. A state-of-the-art motion capture system provides GPS data with sub-millimeter accuracy. A handful of different quadrotor unmanned aerial vehicles and ground robots are also available. Cooperative autonomous systems could benefit medical and rehabilitation environments, as well as scenarios where multiple unmanned vehicles are working together, such as during an avalanche rescue or in military operations.
News

Venanzio Cichella
Director, Cooperative Autonomous Systems Lab
Assistant professor of mechanical engineering