Title
An Autonomous Mobile Robot with Functions of Action Learning, Memorizing, Recall and Identifying the Environment Using Gaussian Mixture Model.
Abstract
In this paper, behavior scheme of autonomous mobile robots to achieve the objectives of them in environments are proposed, having function of identifying the current environment in which they are placed and making use of learning, memorizing and recalling behaviors of corresponding to each of plural different environments. Specifically, each robot has the function of identifying the environment using some behavioral statistical data for each environment, and if the robot has already experienced the environment, it behaves by making use of own experienced data stored in the database, otherwise it performs a new behavior learning and adds the learning results into the database.
Year
DOI
Venue
2015
10.1007/978-3-319-26532-2_30
Lecture Notes in Computer Science
Keywords
Field
DocType
Intelligent robot,Chaotic neural network,Reinforcement learning,Identification of the environment,Gaussian mixture model
Robot learning,Social robot,Computer science,Action learning,Artificial intelligence,Robot,Memorization,Machine learning,Mobile robot,Mixture model,Reinforcement learning
Conference
Volume
ISSN
Citations 
9489
0302-9743
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Masanao Obayashi119826.10
Taiki Yamane200.34
Takashi Kuremoto319627.73
Shingo Mabu449377.00
Kunikazu Kobayashi517321.96