utah stateUniversity

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        Mobile Actuator Sensor Networks

AOE-like Command Method

Users can use mouse clicking to assign destinations for MAS-motes.

 

 

Iterative Control

The MAS-mote can correct its own position after its first trial. With the vision-based localization, the MAS-mote can eventually move to the desired position and orientation very precisely. If some unwanted outside force moves the MAS-mote, for example, the MAS-mote is hit by another MAS-mote, the MAS-mote can correct its position and go back to desired position automatically.

 

 

Basic Formation

This video shows that a desired pattern formation can always be obtained at the desired position and orientation. In this video, a MAS-mote (number 8) is ill-tuned. It can only turns half degree of it supports to do. However, the pattern formation can still be obtained eventually.

 

 

Fog Detection

One MAS-mote begins with patrol mode. It wonders on the platform to find underneath fog. Once the patrolling MAS-mote enters the white area, which simulates the fog, it begins detection mode. The MAS-mote sends back readings and its position to system and the system shows the detected fog on the screen. When it is necessary, the system sends another MAS-mote to dense area to perform some handling work. This video is just a simulation to show that the test-bed is capable of detecting the environment and coordinating MAS-motes.

 

 

Rational Extrinsic Calibration

This video show the camera calibration process necessary for the coordinate transform.

 

 

For More Movies go to

http://mechatronics.ece.usu.edu/mas-net/movies/0605/

 

 

 

 

 

 

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