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A Novel Swarm Intelligence Algorithm with a Parasitism-Relation-Based Structure for Mobile Robot Path Planning
2023
Sensors
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The results verify the productiveness of the parasitism-relation-based structure and the stage-based evolution strategy in path planning. ...
robot path planning problem. ...
Mobile robot path planning Traditional environmentmodeling algorithm Search-based Method Artificial intelligence algorithm
Cell decomposition approach Voronoi diagram, Visibility Graph Potential field ...
doi:10.3390/s23041751
pmid:36850351
pmcid:PMC9960856
fatcat:wzkgrz6pfzdcddbvj6qwqyj2r4
A Review on Representative Swarm Intelligence Algorithms for Solving Optimization Problems: Applications and Trends
2021
IEEE/CAA Journal of Automatica Sinica
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Swarm intelligence algorithms are a subset of the artificial intelligence (AI) field, which is increasing popularity in resolving different optimization problems and has been widely utilized in various ...
In the past decades, numerous swarm intelligence algorithms have been developed, including ant colony optimization (ACO), particle swarm optimization (PSO), artificial fish swarm (AFS), bacterial foraging ...
on path planning for a coal mine rescue robot. ...
doi:10.1109/jas.2021.1004129
fatcat:pv3ydpy53bejzphhjtajqvwqre
Usage of Evolutionary Algorithms in Swarm Robotics and Design Problems
2022
Sensors
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In this study, the general structure of swarm robotics is examined. Algorithms inspired by nature, which form the basis of swarm robotics, are introduced. ...
With the developed algorithms, how the swarm can imitate nature and what tasks it can perform have been explained. ...
In that swarm intelligence application, three mobile robots and seven WSN nodes are used for simplicity. The robots nearby are detected by the static WSN nodes, and a virtual entity assigned. ...
doi:10.3390/s22124437
pmid:35746219
pmcid:PMC9229982
fatcat:qq2y6nmcdzd2zfa5kt56gbtqda
Path Planning for Autonomous Mobile Robots: A Review
2021
Sensors
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It introduces a global classification of path planning algorithms, with a focus on those approaches used along with autonomous ground vehicles, but is also extendable to other robots moving on surfaces ...
Moreover, the models used to represent the environment, together with the robot mobility and dynamics, are also addressed from the perspective of path planning. ...
[127] , where a hybrid between Cuckoo and Bat algorithms is tested. 00 Table 2 . Intelligent models used for some swarm algorithms, together with some of the models. ...
doi:10.3390/s21237898
pmid:34883899
fatcat:ajjqxfabwrgcnev4cu7cj66kna
Energy Optimization in Wireless Sensor Network through Natural Science Computing: A Survey
2013
Journal of green engineering
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Nature-inspired computational algorithms are attracting engineering research for artificial intelligence solutions. ...
The Natural science modelling for designing intelligent artefacts gives good results which reliably execute in the system. ...
The Swarm Intelligence was first introduced by G Beni and J Wang in their proposal of global optimization framework, a set of algorithms for controlling robotic swarm in 1989 [11] . ...
doi:10.13052/jge1904-4720.342
fatcat:yqfecenhkzcnlboif3ueh7torq
Towards the Robotic "Avatar": An Extensive Survey of the Cooperation between and within Networked Mobile Sensors
2010
Future Internet
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Cooperation between networked mobile sensors, wearable and sycophant sensor networks with parasitically sticking agents, and also having human beings involved in the loop is the "Avatarization" within ...
the robotic research community, where all networks are connected and where you can connect/disconnect at any time to acquire data from a vast unstructured world. ...
Cai and Peng [52] used a novel adaptive genetic algorithm based cooperative path planning algorithm for networked robot systems. ...
doi:10.3390/fi2030363
fatcat:5gxwfqeh25ahhiz7s3fxfrgrda
Analysis of gradient-based cuckoo search for the large scale optimal rfid network planning
2019
Journal of Physics, Conference Series
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This paper compares the state of the art PSO developed algorithm, known as the MC-GPSO algorithm, and a firefly algorithm presented by Hasana in 2017 with Gradient-Based Cuckoo Search (GBCS). ...
The results observed high local information for the objective function, which facilitated the choice of complex RFID Network Planning parameters that enabled the algorithm to work with big data in large ...
In recent years, a class of RFID Network Planning optimization based on SI algorithms has been developed, including Evolutionary Algorithms (EA) and Swarm Intelligence (SI) (Hasana et al., 2015) . ...
doi:10.1088/1742-6596/1150/1/012008
fatcat:zkw46kx7zfcarkt2beiw5nt7gu
Conference Guide [Front matter]
2020
2020 16th International Conference on Control, Automation, Robotics and Vision (ICARCV)
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With the rapid development of intelligent algorithms, it has become an inevitable trend to use intelligent algorithm with high intelligence and strong adaptability for robot path planning. ...
Differential evolution algorithm (DE) is a typical intelligent algorithm applied in the robot path planning, yet there still exist some disadvantages, such as local optimum and computational redundancy ...
When the communication network meets the necessary connectivity, we develop a variation of so-called ratio consensus algorithm that deal with malicious attacks. ...
doi:10.1109/icarcv50220.2020.9305477
fatcat:4h7gpoj7ljgsrlkjoyw3qcfzxi
ICIEA 2020 Breaker Page
2020
2020 15th IEEE Conference on Industrial Electronics and Applications (ICIEA)
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Ewald, Nejm Saadallah, Sonja Moi, Dan Sui and Roman Shor
P1313
Optimal Control Design for a Group of Mobile Robots with Uncertainties
Askhat Diveev and Elizaveta Shmalko
Session: TT09 Control and ...
Path Curve Extraction Method Based on Depth Image for Combine Harvester Wenjun Jiang, Pengfei Wang and Qixin Cao P1178 Trajectory Sampling and Fitting Restoration Based on Machine Vision for Robot Fast ...
doi:10.1109/iciea48937.2020.9248094
fatcat:rpirunidu5cqtjseayuxjq5azm
2020 Index IEEE Robotics and Automation Letters Vol. 5
2020
IEEE Robotics and Automation Letters
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., +, LRA Oct. 2020 5645-5652 Differential Flatness Based Path Planning With Direct Collocation on Hybrid Modes for a Quadrotor With a Cable-Suspended Payload. ...
., +, LRA July 2020 4556-4563
Differential Flatness Based Path Planning With Direct Collocation on
Hybrid Modes for a Quadrotor With a Cable-Suspended Payload. ...
doi:10.1109/lra.2020.3032821
fatcat:qrnouccm7jb47ipq6w3erf3cja
Artificial Intelligence Approaches for UAV Navigation: Recent Advances and Future Challenges
2022
IEEE Access
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With recent technological advancements, the application of artificial intelligence (AI) has proliferated. ...
, and excellent mobility. ...
[30] discussed computational intelligence (CI)-based approaches for UAV path planning. ...
doi:10.1109/access.2022.3157626
fatcat:tpulkb672ngg5cqqnziy77nzxa
Bio-Mimic Optimization Strategies in Wireless Sensor Networks: A Survey
2013
Sensors
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Unfortunately, most conventional or classical optimization algorithms like the Hessian matrix-based methods and gradient-based methods [3, 4] are not suitable for WSNs. ...
algorithms, namely, particle swarm optimization, ant colony optimization and genetic OPEN ACCESS Sensors 2014, 14 300 algorithm. ...
Acknowledgments Authors would like to thank Universiti Teknologi Malaysia and Ministry of Higher Education, Malaysia for sponsoring this research under vote numbers: 4D062, 07J04, and 08J35. ...
doi:10.3390/s140100299
pmid:24368702
pmcid:PMC3926559
fatcat:lndlgfl2ajflxhvninklnukww4
A Comprehensive Survey on Particle Swarm Optimization Algorithm and Its Applications
2015
Mathematical Problems in Engineering
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It is hoped that this survey would be beneficial for the researchers studying PSO algorithms. ...
, ring, star, random, etc.), hybridization (with genetic algorithm, simulated annealing, Tabu search, artificial immune system, ant colony algorithm, artificial bee colony, differential evolution, harmonic ...
Cai and Yang [237] proposed an improved PSO-based approach for a team of mobile robots to cooperatively search for targets in complex unknown environments. ...
doi:10.1155/2015/931256
fatcat:ubc5eywnhzdjllxjaywe4czhnm
Symbiotic System of Systems Design for Safe and Resilient Autonomous Robotics in Offshore Wind Farms
[article]
2021
arXiv
pre-print
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A reliability ontology for the deployed robot, based on our holistic hierarchical-relational model, supports computationally efficient platform data analysis. ...
for autonomous adaptive mission planning and situation reporting to a remote operator. ...
ACKNOWLEDGEMENTS This research was funded by the Offshore Robotics for the Certification of Assets (ORCA) Hub [EP/R026173/1], EPSRC Holistic Operation and Maintenance for Energy (HOME) from Offshore Wind ...
arXiv:2101.09491v3
fatcat:wndjigo2gfaavksx5hxihfvjsm
Active Sensing for Search and Tracking: A Review
[article]
2021
arXiv
pre-print
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APE is a key task for search and rescue missions, wildlife monitoring, source term estimation, and collaborative mobile robotics. ...
We also propose a reference framework as a formalism to classify APE-related solutions. ...
Hacker, “A novel bayesian
Intelligent Robots and Systems (IROS). IEEE, 2011, pp. 125–130. filtering based algorithm for rssi-based indoor localization,” in IEEE
[118] M. ...
arXiv:2112.02381v1
fatcat:zxptl2lhcne6hjephtrefoy5ju
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