Autonomous Navigation Framework for Intelligent Robots Based on a Semantic Environment Modeling
Humans have an innate ability of environment modeling, perception, and planning while simultaneously performing tasks. However, it is still a challenging problem in the study of robotic cognition. We address this issue by proposing a neuro-inspired cognitive navigation framework, which is composed o...
Main Authors: | Sung-Hyeon Joo, Sumaira Manzoor, Yuri Goncalves Rocha, Sang-Hyeon Bae, Kwang-Hee Lee, Tae-Yong Kuc, Minsung Kim |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-05-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/10/9/3219 |
Similar Items
-
A Flexible Semantic Ontological Model Framework and Its Application to Robotic Navigation in Large Dynamic Environments
by: Sunghyeon Joo, et al.
Published: (2022-08-01) -
Semantic-Linked Data Ontologies for Indoor Navigation System in Response to COVID-19
by: Abdullah Alamri
Published: (2021-09-01) -
Semantic Integration of Heterogeneous Databases of Same Domain Using Ontology
by: Muhammad Asfand-E-Yar, et al.
Published: (2020-01-01) -
An Autonomous Navigation Framework for Holonomic Mobile Robots in Confined Agricultural Environments
by: Kosmas Tsiakas, et al.
Published: (2023-10-01) -
Development of an Autonomous Driving Vehicle for Garbage Collection in Residential Areas
by: Jeong-Won Pyo, et al.
Published: (2022-11-01)