March 4, 2024, 3:50 p.m. | Eden B.

Towards Data Science - Medium towardsdatascience.com

The probabilistic approach to self-locate under uncertainty

Table of contents:

  1. What is localization and why does a robot need it?
  2. Why are probabilistic tools used to compute localization?
  3. End-to-end example: how to use bayesian algorithms to determine a robot’s position under uncertainty?

How can autonomous cars stay within a single lane at 60mph? How can an i-robot avoid falling down the stairs? How can delivery robots know if they are going to the right hungry customer? These are just a …

algorithms artificial intelligence autonomous autonomous cars autonomous vehicles bayesian bayes-theorem cars compute contents digital digital world example localization probability robot tools uncertainty world

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