Smart navigation of mobile robot using neural network controller
The field of autonomous navigation of mobile robot is advancing so fast especially with the
development of machine learning algorithms. This study aims to introduce a neural network …
development of machine learning algorithms. This study aims to introduce a neural network …
A smart mobile robot commands predictor using recursive neural network
Autonomous navigation of mobile robot via classic neural network (NN) models are no more
valid in terms of efficiency and accuracy due to the development of new advanced …
valid in terms of efficiency and accuracy due to the development of new advanced …
[PDF][PDF] Tour Planning Design for Mobile Robots Using Pruned Adaptive Resonance Theory Networks.
SP Murugan, M Chinnadurai… - Computers, Materials & …, 2022 - researchgate.net
The development of intelligent algorithms for controlling autonomous mobile robots in real-
time activities has increased dramatically in recent years. However, conventional intelligent …
time activities has increased dramatically in recent years. However, conventional intelligent …
Reactive obstacle–avoidance systems for wheeled mobile robots based on artificial intelligence
A Medina-Santiago, LA Morales-Rosales… - Applied Sciences, 2021 - mdpi.com
Obstacle–Avoidance robots have become an essential field of study in recent years. This
paper analyzes two cases that extend reactive systems focused on obstacle detection and …
paper analyzes two cases that extend reactive systems focused on obstacle detection and …
Comparative study of hybrid fuzzy logic methods for mobile robot navigation in unknown environments
S Sahloul, D Benhalima, C Rekik - 2019 19th International …, 2019 - ieeexplore.ieee.org
The navigation of non-holonomic mobile robot in unknown environments is one of the most
important challenges in robotic. In order to accomplish that task of navigation, many …
important challenges in robotic. In order to accomplish that task of navigation, many …
Terrain Traversability Analysis for Off-Road Robot S: Emphasis on Semantic Segmentation And Terrain Classification with Terrain Assessment
MM Gummidipundi - 2021 - search.proquest.com
Terrain Traversability analysis for off-road robots working in unstructured outdoor
environments, emphasizing here on semantic segmentation for terrain, terrain classification …
environments, emphasizing here on semantic segmentation for terrain, terrain classification …
[PDF][PDF] DEEP ARTIFICIAL NEURAL NETWORK BASED OBSTACLE DETECTION AND AVOIDANCE FOR A NON-HOLONOMIC MOBILE ROBOT
C Eneh Princewill, I Eneh Innocent… - researchgate.net
This paper presents modeling and simulation of obstacle detection and avoidance of a four-
wheel mobile robot using Deep Neural Network technique. A maze type environment was …
wheel mobile robot using Deep Neural Network technique. A maze type environment was …