Heuristic approaches in robot path planning: A survey

TT Mac, C Copot, DT Tran, R De Keyser - Robotics and Autonomous …, 2016 - Elsevier
Autonomous navigation of a robot is a promising research domain due to its extensive
applications. The navigation consists of four essential requirements known as perception …

Real-time indoor scene understanding using bayesian filtering with motion cues

G Tsai, C Xu, J Liu, B Kuipers - 2011 International Conference …, 2011 - ieeexplore.ieee.org
We present a method whereby an embodied agent using visual perception can efficiently
create a model of a local indoor environment from its experience of moving within it. Our …

MFEA-IG: A multi-task algorithm for mobile agents path planning

Y Zhou, T Wang, X Peng - 2020 IEEE Congress on …, 2020 - ieeexplore.ieee.org
Mobile agent path planning (MAPP) problem is a typical optimization problem. When we
consider multiple agents path planning simultaneously, problems can be seen as multi-task …

Development of efficient obstacle avoidance and line following mobile robot with the integration of fuzzy logic system in static and dynamic environments

MM Almasri, KM Elleithy… - 2016 IEEE Long Island …, 2016 - ieeexplore.ieee.org
Autonomous mobile robots have been widely used in many researches and applications.
Mobile robots can be programmed to do specific tasks such as collision avoidance and …

Hierarchical interval type-2 fuzzy path planning based on genetic optimization

T Zhao, Y Xiang, S Dian, R Guo… - Journal of Intelligent & …, 2020 - content.iospress.com
This paper focuses on the path planning of mobile robot. Fuzzy logic is employed to deal
with the uncertainty in the process of path planning. The hierarchical interval type-2 fuzzy …

Multi objective optimization of trajectory planning of non-holonomic mobile robot in dynamic environment using enhanced GA by fuzzy motion control and A

BK Oleiwi, R Al-Jarrah, H Roth, BI Kazem - … 2014, Brest, Belarus, June 3-6 …, 2014 - Springer
Abstract a new hybrid approach based on Enhanced Genetic Algorithm by modified the
search A* algorithm and fuzzy logic system is proposed to enhance the searching ability …

Robot path planning using improved rapidly-exploring random tree algorithm

DQ He, HB Wang, PF Li - 2018 IEEE Industrial Cyber-Physical …, 2018 - ieeexplore.ieee.org
A rapidly-exploring random tree (RRT) is a data structure and algorithm that is designed for
efficiently searching nonconvex high-dimensional spaces. RRT is constructed incrementally …

Optimized path planning of an unmanned vehicle in an unknown environment using the PSO algorithm

V Tavoosi, J Marzbanrad… - IOP conference series …, 2020 - iopscience.iop.org
Today, the use of drones has expanded, particularly in high-risk and/or inaccessible
environments, or situations where the cost of human resource is high. One of the most …

Unmanned aerial vehicle terrain following/terrain avoidance/threat avoidance trajectory planning using fuzzy logic

M Bagherian - Journal of Intelligent & Fuzzy Systems, 2018 - content.iospress.com
Abstract Unmanned Aerial Vehicle (UAV) is an aircraft with no onboard pilot. UAV can be
remotely controlled using pre-programmed flight plans. Automatic trajectory planners are an …

H-MAS architecture and reinforcement learning method for autonomous robot path planning

C Lamini, Y Fathi, S Benhlima - 2017 Intelligent Systems and …, 2017 - ieeexplore.ieee.org
This work provides a novel collaborative Q-Learning method using a Holonic Multi Agent
System (H-MAS), with the use of two types of Q-table; Q-Master Table (QMT) and Q …