Statements (27)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
robotics algorithm
|
| gptkbp:advantage |
can represent multimodal distributions
scalable to high-dimensional spaces |
| gptkbp:alsoKnownAs |
gptkb:MCL
particle filter localization |
| gptkbp:basedOn |
particle filter
|
| gptkbp:category |
gptkb:artificial_intelligence
robotics probabilistic algorithms |
| gptkbp:estimatedCost |
robot pose
|
| gptkbp:handles |
uncertainty in motion
uncertainty in sensor data |
| https://www.w3.org/2000/01/rdf-schema#label |
Monte Carlo localization
|
| gptkbp:input |
sensor measurements
motion commands |
| gptkbp:introducedIn |
1999
|
| gptkbp:limitation |
computationally expensive with many particles
|
| gptkbp:notablePublication |
Probabilistic Robotics by Sebastian Thrun, Wolfram Burgard, Dieter Fox
|
| gptkbp:output |
probability distribution over robot poses
|
| gptkbp:purpose |
robot localization
|
| gptkbp:relatedTo |
gptkb:Kalman_filter
gptkb:Markov_localization |
| gptkbp:supportsAlgorithm |
recursive Bayesian estimation
|
| gptkbp:usedIn |
mobile robotics
|
| gptkbp:uses |
probabilistic approach
|
| gptkbp:bfsParent |
gptkb:Wolfram_Burgard
|
| gptkbp:bfsLayer |
6
|