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PATH FINDING BASED ON ARTIFICIAL INTELLIGENCE TECHNIQUES: A REVIEW
2020
International Journal of Engineering Applied Sciences and Technology
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The survey shows GA (genetic algorithm), PSO (particle swarm optimization), Neuro -fuzzy, fuzzy, ACO, from this review of this study finding a researcher used ANFIS, Fuzzy major used for path finding for ...
The purpose of this paper is to review the modeling, optimization criteria and solution algorithms for the path planning of mobile robot. ...
[36] have developed a wheeled robot with the help of Neuro-Fuzzy algorithm is like a car. Algabri, et al. ...
doi:10.33564/ijeast.2020.v05i04.013
fatcat:6ayyqxh5enbrplfunh5vkx2vva
Mobile Robot Navigation and Obstacle Avoidance Techniques: A Review
2017
International Robotics & Automation Journal
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Figure 1: General classification of the Deterministic algorithm, Nondeterministic (Stochastic) algorithm, and Evolutionary algorithm used for mobile robot navigation. ...
Mobile robot is an autonomous agent capable of navigating intelligently anywhere using sensor-actuator control techniques. ...
In [40] , the authors have developed geneticfuzzy and genetic-neural for an adaptive navigation planning of a car-like mobile robot between dynamic obstacles. ...
doi:10.15406/iratj.2017.02.00023
fatcat:m6viumq36zf5zbfeexua475gjy
Heuristic Algorithms for Robot Path Planning: A Review
2021
IJARCCE
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In this paper a review of heuristic algorithms used for path planning are discussed according to their feasibility and complexity. ...
Different papers on heuristic algorithms are discussed to find out the computational complexity and efficiency of the algorithm. ...
Genetic algorithm send results to artificial neural networks which provide the output. ...
doi:10.17148/ijarcce.2021.10112
fatcat:yqcxmbkudjctlj3jmfe47weaty
A MOVEMENT CONTROL OF A SMALL MOBILE 3-PI ROBOT IN A MAZE USING ARTIFICIAL NEURAL NETWORK
2020
International Journal of Mechatronics and Applied Mechanics
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The control of the direction of the robot's movement is performed by a single-layer neural network including two neurons. ...
An intention of this article is to present a technical implementation of control of a small mobile 3-Pi robot which moving in a maze along a predefined guide line. ...
Acknowledgements This work was supported by Slovak Cultural and Educational Grant Agency KEGA within the project 029STU-4/2018. ...
doi:10.17683/ijomam/issue8.10
fatcat:god6nm5wyrbr7aszspriiaoiv4
Evolving neural networks
2007
Proceedings of the 2007 GECCO conference companion on Genetic and evolutionary computation - GECCO '07
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• Cooperative coevolution of composite behavior
• DEMO
49
Applications to Artificial Life
• Gaining insight into neural structure
-E.g. evolving a command neuron
2,31,56 ...
• DEMO
Applications to Robotics
• Controlling a robot arm 44
-Compensates for an inop motor
• Robot walking 29,58
-Various physical platforms
• Mobile robots 11,16,48,60
-Transfers from simulation ...
doi:10.1145/1274000.1274119
dblp:conf/gecco/Miikkulainen07
fatcat:4zyvbu3dxjb4hjqqicvwwzvjna
Scale Independence in the Visual System
[chapter]
2004
Studies in Fuzziness and Soft Computing
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even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. ...
© Springer-Verlag Berlin Heidelberg 2004 Softcover reprint of the hardcover 1st edition 2004 The use of general descriptive names, registered names trademarks, etc. in this publication does not imply, ...
Hu and Hirasawa present a neural network for control of non-linear systems. And Ricalde, Sanchez, and Perez provide an application of recurrent neural network for control of a robot manipulator. ...
doi:10.1007/978-3-540-39935-3_1
fatcat:ndxvzjuncjhhthkbw4bcbumxem
Vision-Based Mobile Robot Controllers: A Scientific Review
2021
Turkish Journal of Computer and Mathematics Education
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Today, there are different types of self-controlled robots. Some of them had critical effects on our lives like industrial and medical robots. ...
Mobile robots must have a data source used as an input dataset and processed to change their behavior; for instance, moving, stopping, rotating, or doing any required action based on the information gathered ...
[61] combined Artificial Neural Networks (ANN) and Finite State Machines (FSM) to build an approach for mobile robot control. ...
doi:10.17762/turcomat.v12i6.2695
fatcat:hxdsdt2kl5hs3eswac4ckeuv6i
Different Nature-Inspired Techniques Applied for Motion Planning of Wheeled Robot: A Critical Review
2018
International Journal of Advanced Robotics and Automation
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This article presents a critical review on motion planning of wheeled robot by using different nature-inspired techniques like evolutionary algorithm and swarm-based optimization algorithm. ...
Many techniques have applied by researchers from last two-three decades for wheeled robot motion planning. ...
[49] have developed a wheeled robot with the help of Neuro-Fuzzy algorithm is like a car. Algabri, et al. ...
doi:10.15226/2473-3032/3/2/00136
fatcat:7feu6x3hrncdbgflwo23qowqvm
Analysis and Modelling of Strong-AI to Engineer BIONIC Brain for Humanoid Robotics Application
2013
American Journal of Embedded Systems and Applications
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In my research very first I was gone through the literature surveys, history of AI and Robotics from various secondary data and information sources like white papers, short essays, research papers, research ...
review papers, newspapers, monographs and standard reference books in the field of AI, robotics and humanoid robotics. ...
guidelines and Autonomy is high for examples , Neuralschema's , Bionic brain, Neural network and genetic algorithms , Natural language processing and genetic algorithm to get in depth knowledge of it. ...
doi:10.11648/j.ajesa.20130102.11
fatcat:a5dw7yzzunflre7tbsvdhmy3h4
Advanced Applications of Neural Networks and Artificial Intelligence: A Review
2012
International Journal of Information Technology and Computer Science
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The most general applications where neural networks are most widely used for problem solving are in pattern recognition, data analysis, control and clustering. ...
Artificial Neural Network is a branch of Artificial intelligence and has been accepted as a new computing technology in computer science fields. ...
According to Callen the rules for calculating the output is known as the activation function [7] . A neural network has three layers in its structure. ...
doi:10.5815/ijitcs.2012.06.08
fatcat:pjdstjcnuzhwlg4rex2uwfrexe
Trajectory Tracking Control of Robot via a Fuzzy Sliding-Mode Controller
2012
Advanced Materials Research
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This paper presents a new strategy for the trajectory tracking control of robot, using a fuzzy logic approach and sliding mode control. ...
A mobile manipulator with two arms is taken as an example to track a given trajectory with the proposed controller. It is found that the results are very encouraging. ...
Indirect RBF neural network controller by means of genetic algorithm In this section, by using an RBFNN, an indirect adaptive controller is designed for tracking the trajectory of the car-like robot. ...
doi:10.4028/www.scientific.net/amr.433-440.4154
fatcat:tqlxvkkanzdxtc5b2nxcmv62qm
Artificial Gene Regulatory Networks—A Review
2019
Artificial Life
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In Nature, gene regulatory networks are a key mediator between the information stored in the DNA of living organisms (their genotype) and the structural and behavioral expression this finds in their bodies ...
This review discusses the concept of gene regulation, the current state-of-the-art in gene regulatory networks, including modeling and simulation, and reviews their use in artificial evolutionary settings ...
The oscillatory behavior of AGRNs has been used to control ATRON's modular robots [149] : the robot, possessing a snake-like structure, can be successfully controlled by an artificial gene regulatory ...
doi:10.1162/artl_a_00267
fatcat:kmshnduj7bap5nezctik63uvae
Born to learn: The inspiration, progress, and future of evolved plastic artificial neural networks
2018
Neural Networks
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2017 pre-print arXiv:1703.10371v2 fatcat:ip62etnk6vggleoh7lambg47riOther Versions
Inspired by such intricate natural phenomena, Evolved Plastic Artificial Neural Networks (EPANNs) use simulated evolution in-silico to breed plastic neural networks with a large variety of dynamics, architectures ...
Current scientific and technological advances in artificial neural networks are now setting the conditions for radically new approaches and results. ...
Figure 1 : 1 Maze Navigating Robot. The artificial neural network that controls the maze navigating robot is shown in (a). ...
doi:10.1016/j.neunet.2018.07.013
pmid:30142505
fatcat:gfgtbfalrbh6hnjwwj5lxj2dla
A review of recent trends in machine diagnosis and prognosis algorithms
2009
2009 World Congress on Nature & Biologically Inspired Computing (NaBIC)
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Formulate a failure prediction methodology based on actual plant data exclusively for robotic body shop assembly process by formulating various diagnosis and prognosis prediction algorithms. ...
The critical robotic assembly failure modes are identified and FMEA table has been developed. ...
The Artificial Intelligence (AI) such as artificial neural network (ANN), fuzzy logic systems (FLS), fuzzy neural networks (FNN) and Genetic algorithms (GA) are some of the fault diagnostic techniques. ...
doi:10.1109/nabic.2009.5393625
dblp:conf/nabic/PandianA09
fatcat:p6r4ryn64zdy7gyt7spd7csr54
Evolutionary Robotics
[chapter]
2008
Springer Handbook of Robotics
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Acknowledgments We thank the anonymous reviewers and Michael Arbib for constructive suggestions and Mototaka Suzuki for further corrections and editorial help. ...
First steps A simple genetic algorithm [43] was used to evolve the synaptic strengths of a neural network composed of eight sensory neurons and two motor neurons. ...
[40] used a genetic algorithm to derive the optimal gait parameters for a Robug III robot, an 8-legged, pneumatically powered walking and climbing robot. ...
doi:10.1007/978-3-540-30301-5_62
fatcat:rh2ldseugbg5jcgqs4vdngesxe
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