Self-localization of mobile robots with RFID system by using support vector machine.
Kentaro YamanoKanji TanakaMitsuru HirayamaEiji KondoYoshihiko KimuroMichihito MatsumotoPublished in: IROS (2004)
Keyphrases
- mobile robot
- support vector machine
- path planning
- multi class
- autonomous robots
- svm classifier
- indoor environments
- low cost
- obstacle avoidance
- rfid technology
- supply chain
- mobile robotics
- support vector
- unknown environments
- machine learning
- multi class support vector machines
- multi robot
- dynamic environments
- support vector machine svm
- kernel function
- radio frequency identification
- omni directional
- rfid tags
- feature selection
- training data
- motion planning
- unstructured environments
- decision boundary
- feature vectors
- rfid reader
- training set
- robotic systems
- radio frequency identification rfid
- collision avoidance
- feature space
- svm classification
- k nearest neighbor
- mobile robot localization
- data collection
- classification method
- stock market prediction
- soft margin
- kernel methods
- hyperplane
- knn
- sensory information
- rfid systems
- decision forest
- outdoor environments
- lp norm
- simultaneous localization and mapping
- small sample
- supply chain management
- support vector regression