At the same time, they are constrained by attractive potentials
7 Conclusions and Future Work
Dan O. Popa and Frank L. Lewis
(a)
(b)
Fig. 9. Inexpensive Rover Unit for color-based indoor adaptive sampling algorithm
validation testbed ( ) and CyberGuard SR2/ESP, and MICA Xbow motes on the
varying field distributions, using proper kinematic and dynamic vehicle models,
multiple vehicles, and secondary optimization objectives such as energy
resources and communication bandwidth. The research described here is coordinated
with larger e?®orts in environmental sensing and monitoring related
to rivers, and coastal areas [40]. Furthermore, a fleet of several inexpensive
as part of a larger testbed composed of larger CyberGuard SR2/ESP robots
and wireless Xbow motes to study WSN deployment algorithms using mobile
robots (Figure 9).
60
lab floor at ARRI??™s WSN Lab( ).
mobile sensor network nodes is currently being operated at ARRI??™s WSN lab,
top
bottom
Chapter 2 Algorithms for Robotic Deployment of WSN
References
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tems, Man and Cybernetics, Part C, Vol. 32, pp. 474??’484, Nov., 2002.
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and Automation (ICRA), Seoul, Korea, May, 2000.
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and directions, Autonomous Robots, vol. 4, pp. 7??“27, 1997.
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