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A comprehensive review of coverage path planning in robotics using classical and heuristic algorithms
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 …
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
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 …
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
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 …
(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
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 …
environment without any prior information and based on the data obtained from one or more …
Lévy walks
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 …
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 …
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
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 …
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 …
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 …
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
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 …
demand for obtaining the maximal cumulative detection reward, given the prior target …