Miller Robotic Interface II Manual de usuario Pagina 66

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6 RESULTS AND CONCLUSIONS
We have succeeded through design and testing in providing a very useful surroundings
awareness panel that displays accurate data to the user in an easy to interpret manner. Through
testing, the current distance panel was proven to provide faster run times, with fewer collisions
than any of the other methods we had seen in prior studies.
We succeeded in providing proof that the guidelines we followed in the creation of the interface
were accurate assumptions. These guidelines and the results of the experiments are summarized
in table 4.
We provided a map of where the robot had been. Although we had many complaints
about our map, we found in the usability study performed on version 2.0 that a good
map is liked and wanted by users. Also, as a result, we say that not only should the
interface provide a map of where the robot has been, but also should provide the
functionality to be able to place labels and landmarks on the map.
We fused sensor information to lower the cognitive load on user. Having the laser and
sonar sensor values being displayed in the same distance panel allowed the users to only
have to look at one spot on the interface for the distance information. Through an
iterative process, we successfully provided a way to provide more spatial information
about the robot in the environment in an easy to interpret distance panel. The display
panel rotates when the operator pans the camera. This allows the user to line up the
obstacle they see in the video with where it is represented in the distance panel, which
also reduces their cognitive load.
We also provide indicators of robot health and state. We include information on which
camera is currently in the main display. Crosshairs are overlaid on the video screen to
show the current pan/tilt position of the main camera. The rotation of the distance
panel also doubles as a pan indicator.
We have shown, in the second experiment of version 1.0, that the ability to see the
robot’s chassis improves SA. This finding helps to strengthen the guideline that states
the robot should have the ability to self inspect its body for damage or entangled
obstacles.
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