Questions tagged [localization]

Localization is the problem of estimating a robot's pose relative to a map of its environment.

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11
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3answers
3k views

With a 6-axis robot, given end-effector position and range of orientations, how to find optimal joint values

Given a six-axis articulated robot arm holding a tool at its end-effector, if I have a desired tool position and tool orientation, there will be exactly 1 solution to the inverse kinematics equation ...
18
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3answers
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Quadcopter Localization Beacon

I want to use an RF beacon to localize my quadcopter for autolanding, when GPS is not precise enough, for example, when my driveway is only 10 feet wide, and the GPS is only showing 20-30 ft. accuracy ...
23
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8answers
16k views

Absolute positioning without GPS

Using an IMU a robot can estimate its current position relative to its starting position, but this incurs error over time. GPS is especially useful for providing position information not biased by ...
9
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3answers
2k views

What algorithm can I use for constructing a map of an explored area using a number of ultrasound sensors?

Ultrasound sensors are incredibly cheap these days which makes them a popular choice for many hobbyist robotic applications, and I'd like to use a bunch of them (say 10) around a robot with an ...
12
votes
5answers
376 views

What's the most accurate way to obtain a locational fix using GPS?

Obviously GPS is the most obvious and accessible technology for obtaining a locational "fix" for a robot at any particular time. However, while it's great sometimes, in other locations and situations ...
-3
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2answers
1k views

Mobile robot localization in a known map [closed]

I want to localize a mobile robot equipped with a 2D laser scanner in a known indoor environment. The map is a 2D occupancy grid, but is not perfect. What algorithms are appropriate for mobile robot ...
17
votes
3answers
4k views

What are good methods for tuning the process noise on Kalman filters?

Most often tuning the Kalman filter noise matrices is done by trial and error or domain knowledge. Are there more principled ways for tuning all the Kalman filter parameters?

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