[HTML][HTML] A consolidated review of path planning and optimization techniques: Technical perspectives and future directions

F Gul, I Mir, L Abualigah, P Sumari, A Forestiero - Electronics, 2021 - mdpi.com
In this paper, a review on the three most important communication techniques (ground,
aerial, and underwater vehicles) has been presented that throws light on trajectory planning …

A comprehensive study for robot navigation techniques

F Gul, W Rahiman, SS Nazli Alhady - Cogent Engineering, 2019 - Taylor & Francis
An intelligent autonomous robot is required in various applications such as space,
transportation, industry, and defense. Mobile robots can also perform several tasks like …

[PDF][PDF] Mobile robot navigation and obstacle avoidance techniques: A review

A Pandey, S Pandey, DR Parhi - Int Rob Auto J, 2017 - researchgate.net
Mobile robot is an autonomous agent capable of navigating intelligently anywhere using
sensor-actuator control techniques. The applications of the autonomous mobile robot in …

[HTML][HTML] An intelligent approach for autonomous mobile robots path planning based on adaptive neuro-fuzzy inference system

MS Gharajeh, HB Jond - Ain Shams Engineering Journal, 2022 - Elsevier
This paper proposes an efficient path planning technique for the autonomous collision-free
navigation of wheeled mobile robots with simple hardware based on an adaptive neuro …

Evolutionary-group-based particle-swarm-optimized fuzzy controller with application to mobile-robot navigation in unknown environments

CF Juang, YC Chang - IEEE Transactions on Fuzzy Systems, 2011 - ieeexplore.ieee.org
This paper proposes an evolutionary-group-based particle-swarm-optimization (EGPSO)
algorithm for fuzzy-controller (FC) design. The EGPSO uses a group-based framework to …

Obstacle avoidance method for wheeled mobile robots using interval type-2 fuzzy neural network

CJ Kim, D Chwa - IEEE Transactions on Fuzzy Systems, 2014 - ieeexplore.ieee.org
This paper proposes an obstacle avoidance method in the position stabilization of the
wheeled mobile robots using interval type-2 fuzzy neural network (IT2FNN). Previously, we …

An Overview of Nature‐Inspired, Conventional, and Hybrid Methods of Autonomous Vehicle Path Planning

BBK Ayawli, R Chellali, AY Appiah… - Journal of Advanced …, 2018 - Wiley Online Library
Safe and smooth mobile robot navigation through cluttered environment from the initial
position to goal with optimal path is required to achieve intelligent autonomous ground …

Reinforcement ant optimized fuzzy controller for mobile-robot wall-following control

CF Juang, CH Hsu - IEEE Transactions on Industrial …, 2009 - ieeexplore.ieee.org
This paper proposes a reinforcement ant optimized fuzzy controller (FC) design method,
called RAOFC, and applies it to wheeled-mobile-robot wall-following control under …

Real-time robot path planning based on a modified pulse-coupled neural network model

H Qu, SX Yang, AR Willms, Z Yi - IEEE Transactions on Neural …, 2009 - ieeexplore.ieee.org
This paper presents a modified pulse-coupled neural network (MPCNN) model for real-time
collision-free path planning of mobile robots in nonstationary environments. The proposed …

A bioinspired neurodynamics-based approach to tracking control of mobile robots

SX Yang, A Zhu, G Yuan… - IEEE Transactions on …, 2011 - ieeexplore.ieee.org
Tracking control is a fundamentally important issue for robot and motor systems, where
smooth velocity commands are desirable for safe and effective operation. In this paper, a …