Outdoor Autonomous Robot Navigation System with Learning Action Policy Based on Double Deep Q-Network

2018 ◽  
Vol 2018 (0) ◽  
pp. 1A1-L12
Author(s):  
Yuki KATO ◽  
Kazuyuki MORIOKA
Keyword(s):  
Navigation System ◽  
Robot Navigation ◽  
Autonomous Robot ◽  
Action Policy ◽  
Autonomous Robot Navigation

A Simple View-Based Software Architecture for an Autonomous Robot Navigation System

2015 ◽  
pp. 287-296
Author(s):  
Salvador E. Ayala-Raggi ◽  
Pedro de Jesús González ◽  
Susana Sánchez-Urrieta ◽  
Aldrin Barreto-Flores
Keyword(s):  
Software Architecture ◽  
Navigation System ◽  
Robot Navigation ◽  
Autonomous Robot ◽  
Simple View ◽  
Autonomous Robot Navigation

scholarly journals AN APPROACH DESIGNING AUTONOMOUS ROBOT NAVIGATION SYSTEM BASED ON BEHAVIOR COORDINATION

2017 ◽  
Vol 24 (4) ◽  
pp. 353-367
Author(s):  
Long Thanh Ngo ◽  
Long The Pham ◽  
Phuong Hoang Nguyen
Keyword(s):  
Navigation System ◽  
Fuzzy Inference ◽  
Robot Navigation ◽  
Autonomous Robot ◽  
Inference System ◽  
Unstructured Environment ◽  
Individual Task ◽  
Simulation Results ◽  
Autonomous Robot Navigation ◽  
Wall Following

Robot navigation using fuzzy behavior is suited in unknown and unstructured environment in which each behavior have an individual task. This paper deals with an approach designing autonomous robot navigation system based on fuzzy behaviors including collision avoidance, wall-following, go-to-target. The proposed hierarchy of fuzzy behaviors is used to fuse the command in which each behavior is a fuzzy inference system and its outputs are fuzzy sets. Its inputs are information fused from sensors using fuzzy directional relationship. The simulation results with some statistics show that the system works correctly. 

Sign in / Sign up

Export Citation Format

Share Document