The project aims
at the development of a system based on the use of
aerial and ground robots and sensor networks for cooperative
perception. The system is based on the joint application of Aerial
Robotics and the technology of Wireless Sensor Networks. Several
autonomous and teleoperated vehicles will be used including an
helicopter previously developed by the Research Group and an autonomous
airplane to be developed in the project from the adaptation for
autonomous operation of a small unmanned commercial airplane. The
helicopter manoeuvrability and hovering capability will allow reaching
locations with constrained accessibility, collecting information and
communicating with the on-ground sensors. The airplane will provide
larger exploration range and velocity communicating with an on-ground
mobile station. The information provided by the sensors on the vehicles
and on the ground will be processed by the cooperative perception
system to be developed in the project. This system will be designed
taking into account redundancy and reliability criteria on the
information provided and the trajectory planning of the aerial and
ground vehicles.
Projects in which I am
collaborating with HumAnS Lab (Georgia Institute of Technology)
Sensor webs
(or networks) have been shown to be a powerful tool for in-situ science
applications ranging from earthquake forecasting to understanding
climate
change. These networks capitalize on
their ability to deploy cheap nodes throughout a region of interest in
order to
gather information relevant for scientific analysis.
Recently, there has been growing interest in
mobile networks to deal with the limitations of static networks,
including
issues of network deployment, coverage, and fault tolerance.
In this project, it is employed a natural extension of the sensor web
concept that enables controlled reconfiguration of sensor assets
for fault-tolerant in-situ sampling. The main motivation behind this
approach is to apply decentralized control algorithms for network
adaptation and deployment while establishing the global sensing
capability required for science investigations.