Monte Carlo localization
id:
monte-carlo-localization-286-4030652
title:
Monte Carlo localization
text:
Monte Carlo localization (MCL), also known as particle filter localization, is an algorithm for robots to localize using a particle filter. Given a map of the environment, the algorithm estimates the position and orientation of a robot as it moves and senses the environment. The algorithm uses a particle filter to represent the distribution of likely states, with each particle representing a possible state, i.e., a hypothesis of where the robot is. The algorithm typically starts with a uniform r
brand slug:
wiki
category slug:
encyclopedia
description:
original url:
https://en.wikipedia.org/wiki/Monte_Carlo_localization
date created:
date modified:
2024-02-26T23:16:45Z
main entity:
{"identifier":"Q6904694","url":"https://www.wikidata.org/entity/Q6904694"}
image:
fields total:
13
integrity:
13