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CSci 5980, Section 1: Robotic Sensor Networks
Instructor: Ibrahim Volkan
Isler
Email: isler(at)cs
A sensor network is a network of devices equipped with sensing,
communication and computation capabilities. A Robotic Sensor Network
(RSN) is a sensor network with the added capability of
actuation
(e.g. mobility). Examples of robotic sensor networks include teams of
mobile robots, underwater vehicles, Unmanned Aerial Vehicles (UAVs), or
networks of pan-tilt cameras collaboratively observing phenomena.
Robotic sensor network technology has the potential for a tremendous
positive impact on our society. In emergency response, RSNs can be
employed in search-and-rescue operations for situational awareness
during a
disaster. In environmental monitoring, they can be used to
detect forest fires or monitor rare species. In health care,
they can monitor patients or the elderly over extended periods of time
without confining them to a small area. There are numerous
automation tasks, such as surveillance, monitoring energy consumption
and quality inspection, that can benefit from the RSN technology.
This course focuses on the design and analysis of planning,
coordination and control
algorithms for RSN tasks such as:
- sensor placement, management and coverage
- tracking
- data aggregation
- pursuit-evasion
- connectivity maintenance and repair
Further details can be found in the course
syllabus.
For more information, please
contact Volkan Isler: http://www.cs.umn.edu/~isler/
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