Distributed Robotics

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Distributed Control and Learning in Networked Robot Systems

Supported by Boeing

The goal of this research is to develop autonomous teams of robots
that perceive their environment and respond to it, anticipating
information needs by the network, the task, and its users,
repositioning  and organizing themselves to best acquire and deliver
the information.

Our aim is to make fundamental contributions to distributed and adaptive
control, planning, and learning for collaborative networked systems of
robots and sensors and demonstrate them in the context of real applications.
Applications range from coordinating teams of robots
on the assembly line to coordinating swarms in flight, on the ground,
or in the air for industrial, environmental, and military operations
such as search and rescue.