Smart navigation of mobile robot using neural network controller

K Khnissi, C Seddik, H Seddik - 2018 International Conference …, 2018 - ieeexplore.ieee.org
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 …

A smart mobile robot commands predictor using recursive neural network

K Khnissi, CB Jabeur, H Seddik - Robotics and Autonomous Systems, 2020 - Elsevier
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 …

[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 …

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 …

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 …

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 …

[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 …