Intelligent Systems and Machines
Principles of learning and adaptation in intelligent machines
- New paradigms of embedded computation
- Hybrid discrete, continuous, and symbolic systems
Integrated microsystems
- Sensing, actuators and embedded computation integrated into microsystems
- Micro- and molecular robotics
Applications of intelligent systems to:
- Medicine: microsurgery assistants, implanted sensors and artificial organs
- Manufacturing: micromanipulation and microassembly of new classes of products; nanoassembly of new materials
- Transportation: smart vehicles and intelligent highway systems