A comprehensive review of coverage path planning in robotics using classical and heuristic algorithms

CS Tan, R Mohd-Mokhtar, MR Arshad - IEEE Access, 2021 - ieeexplore.ieee.org
The small battery capacities of the mobile robot and the un-optimized planning efficiency of
the industrial robot bottlenecked the time efficiency and productivity rate of coverage tasks in …

[HTML][HTML] A review: On path planning strategies for navigation of mobile robot

BK Patle, A Pandey, DRK Parhi, A Jagadeesh - Defence Technology, 2019 - Elsevier
This paper presents the rigorous study of mobile robot navigation techniques used so far.
The step by step investigations of classical and reactive approaches are made here to …

Classical and heuristic approaches for mobile robot path planning: A survey

JA Abdulsaheb, DJ Kadhim - Robotics, 2023 - mdpi.com
The most important research area in robotics is navigation algorithms. Robot path planning
(RPP) is the process of choosing the best route for a mobile robot to take before it moves …

[HTML][HTML] Active map** and robot exploration: A survey

I Lluvia, E Lazkano, A Ansuategi - Sensors, 2021 - mdpi.com
Simultaneous localization and map** responds to the problem of building a map of the
environment without any prior information and based on the data obtained from one or more …

Lévy walks

V Zaburdaev, S Denisov, J Klafter - Reviews of Modern Physics, 2015 - APS
Random walk is a fundamental concept with applications ranging from quantum physics to
econometrics. Remarkably, one specific model of random walks appears to be ubiquitous …

A survey of underwater multi-robot systems

Z Zhou, J Liu, J Yu - IEEE/CAA Journal of Automatica Sinica, 2021 - ieeexplore.ieee.org
As a cross-cutting field between ocean development and multi-robot system (MRS), the
underwater multi-robot system (UMRS) has gained increasing attention from researchers …

Balancing collective exploration and exploitation in multi-agent and multi-robot systems: A review

HL Kwa, J Leong Kit, R Bouffanais - Frontiers in Robotics and AI, 2022 - frontiersin.org
Multi-agent systems and multi-robot systems have been recognized as unique solutions to
complex dynamic tasks distributed in space. Their effectiveness in accomplishing these …

Gaussian mixture model and self-organizing map neural-network-based coverage for target search in curve-shape area

P Yao, Q Zhu, R Zhao - IEEE Transactions on Cybernetics, 2020 - ieeexplore.ieee.org
This article focuses on the target search problem in a curve-shape area using multiple
unmanned aerial vehicles (UAVs), with the demand for obtaining the maximum cumulative …

Multi-UAV information fusion and cooperative trajectory optimization in target search

P Yao, X Wei - IEEE Systems Journal, 2021 - ieeexplore.ieee.org
With the increasing complexity of the search environment, it is particularly important for
multiunmanned aerial vehicles (UAVs) to achieve a safe and efficient search for a dynamic …

Improved Glasius bio-inspired neural network for target search by multi-agents

P Yao, Z Zhao - Information Sciences, 2021 - Elsevier
This paper focuses on solving the multi-agent cooperative target search problem with the
demand for obtaining the maximal cumulative detection reward, given the prior target …