The merging of artificial intelligence into activity-based robotics is being helped by the emergence of ever more powerful and compact sensors and computing platforms, accessibility of navigation systems such as GPS/GNSS-based positioning, and rapid high-bandwidth wireless distributed communication networks.
The result has been the creation of a new paradigm for intelligent robotics focused on emergent intelligence, coordinated activity, and situational awareness. By bringing together model-based cognitive and organizational research with robotic hardware and control systems, CSL researchers are developing new capabilities for task-based perception and active vision, as well as coordinated and collaborative behavior.
The faculty are drawing inspiration from biological life to design reactive and hybrid behavior-based robot control systems. There is also high interest in understanding the basic principles used by humans and other animals to solve various perceptual and spatial problems, as well as ways to implement these principles in artificial systems.