all AI news
How to find yourself in a digital world?
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:
- What is localization and why does a robot need it?
- Why are probabilistic tools used to compute localization?
- 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
More from towardsdatascience.com / Towards Data Science - Medium
Jobs in AI, ML, Big Data
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Senior ML Engineer
@ Carousell Group | Ho Chi Minh City, Vietnam
Data and Insight Analyst
@ Cotiviti | Remote, United States