Increasingly, autonomous systems are networked to provide greater impact through coordination in areas such as unmanned autonomous vehicles, manufacturing and future infrastructure. Our primary focus lies at the intersection of networked systems, autonomy, and aerial robotics.
Drawing on theory from control engineering, game theory, and optimization, our key areas of research include
- Networked dynamic systems (distributed decision making, planning, and scheduling);
- Sensor and information processing (sensor fusion, advanced nano- and microscale sensor design, robust communications, and sensor networks).