Sensing and coverage for a network of heterogeneous robots

We address the problem of covering an environment with robots equipped with sensors. The robots are heterogeneous in that the sensor footprints are different. Our work uses the location optimization framework in with three significant extensions. First, we consider robots with different sensor footp...

Full description

Saved in:
Bibliographic Details
Published in2008 47th IEEE Conference on Decision and Control pp. 3947 - 3952
Main Authors Pimenta, L., Kumar, V., Mesquita, R.C., Pereira, G.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2008
Subjects
Collaborative work
Density functional theory
Encoding
Euclidean distance
Land vehicles
Optimization methods
Quantization
Robot control
Robot sensing systems
System performance
Online AccessGet full text
ISBN9781424431236
1424431239
ISSN0191-2216
DOI10.1109/CDC.2008.4739194

Cover

More Information
Summary:We address the problem of covering an environment with robots equipped with sensors. The robots are heterogeneous in that the sensor footprints are different. Our work uses the location optimization framework in with three significant extensions. First, we consider robots with different sensor footprints, allowing, for example, aerial and ground vehicles to collaborate. We allow for finite size robots which enables implementation on real robotic systems. Lastly, we extend the previous work allowing for deployment in non convex environments.
ISBN:9781424431236
1424431239
ISSN:0191-2216
DOI:10.1109/CDC.2008.4739194