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SLAM (Simultaneous Localization And Mapping) refers to a robot building a map of its environment through it's sensor data (mapping) and keeping track of its own position in that map (localization) at the same time.

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Just as manna kalsariya suggested, you can try to use the pseudo inverse. The README of the Universal Java Matrix Package (see "Quick Start") shows that the pseudo inverse is implemented and available …
answered Jul 18 '18 by koverman47
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). For your second question, look on slide 34, second bullet, of EKF SLAM. Low $H_t^i$ is not the same thing as $H_t^i$. In the second bullet, we see that the derivation of $H_t^i$ is exactly the …
answered Jul 6 '18 by koverman47
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environments if your training data set is robust enough. Additionally, you can integrate a good object detection strategy within your SLAM technique. As a result, it would not be redundant. On a side …
answered Jul 5 '18 by koverman47