Added: 4 years ago
From: merlinlive
Views: 5,817
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  • I would be interested in seeing the "tolerance" of the guesses. That is to say, the map on the left showing not only the best guess, but a ghosted image of possible guesses.

  • really cool, it seems working wery well.

  • Is the map generated by SLAM? what type of path planning algorithm is it using?

  • is it orienting itself recognizing the objects in the room ? how does it work ???

  • The robot is able to navigate with just wheel encoder information and bump contact sensor information. We have developed an algorithm that uses this information to estimate the robot position. This will work with any robot with similar sensors...

  • What you state is not possible, unless something else is introduced in the environment. Odometry alone plus bumping information is not accurate enough to generate such precise trajectories and localization. Could you please confirm that?

  • Well, it depends on your definition of 'precise'. The system is precise enough to navigate around a series of rooms - in fact the more complex the room, the better the system works. It is not as good as a laser scanner SLAM approach. The system does require a map of the rooms as a starting point. The algorithm is continually guessing where the robot is based on all the information, usally seems to be accurate to within 30cm.

  • I see. I understand how it works now. Thanks

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