Monte Carlo Localization

GPTKB entity

Statements (26)
Predicate Object
gptkbp:instanceOf robotics algorithm
gptkbp:advantage handles multi-modal distributions
handles non-Gaussian distributions
gptkbp:alsoKnownAs gptkb:MCL
particle filter localization
gptkbp:basedOn particle filter
gptkbp:category gptkb:artificial_intelligence
gptkb:probabilistic_robotics
robotics
gptkbp:contrastsWith gptkb:Kalman_filter
gptkbp:estimatedCost robot pose
robot orientation
robot position
gptkbp:handles gptkb:kidnapped_robot_problem
global localization
https://www.w3.org/2000/01/rdf-schema#label Monte Carlo Localization
gptkbp:implementedIn gptkb:ROS_(Robot_Operating_System)
gptkbp:introducedIn 1990s
gptkbp:notablePublication Dieter Fox, Wolfram Burgard, Frank Dellaert, Sebastian Thrun (1999)
gptkbp:usedFor robot localization
gptkbp:usedIn mobile robotics
gptkbp:uses Bayesian filtering
probabilistic approach
set of weighted samples
gptkbp:bfsParent gptkb:MCL
gptkbp:bfsLayer 6