Our work aims to attain autonomous operations
of systems that have uncontrollable inputs and operate in
unstructured environments. We harness the 'Moore's law' growth of
computational and sensing hardware with rigorous mathematical tools to enable
autonomy of unmanned vehicles, the smart grid, and sensor networks.
Navigation with natural signals
- A framework for autonomous
path and mission planning that permits a few operators to control a
large number of assets.
- Reducing the cost of health monitoring through suitable sensing design and adaptation.
- Control laws that enable high throughput for
hydraulic machines without compromising safety, while reducing energy
Active security management
Using Big Data from Sensors
- Traffic Safety I am co-PI in SPR-3831: Safety Acquisition and Management (Data Portal and TScan)
are tracking traffic microscopically with Lidar to determine safety of
various locations. We determine safety far faster without the need for
- System Theory for Policy Making
won a grant in collaboration with political science, communication and
civil engineering. We are developing methods to ensure strategic
consistency in policy making, and avoid the conflicts between
individual and group objectives in the context of water policy.