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Analysis and Review of Average Fuzzy Inference Technique and Other AI Techniques Used for Robot Control and Navigation
2020
Current Trends in Computer Sciences & Applications
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Using the Average Fuzzy Inference technique robot navigates from start position to goal position avoiding obstacles while reaching the target. The simulation results agree with experimental results. ...
In this paper application of average fuzzy inference technique has been analysed for navigation control of robotic agent. ...
Mohanty PK, Parhi DR (2014) Navigation of autonomous mobile
robot using adaptive network based fuzzy inference system. ...
doi:10.32474/ctcsa.2020.02.000129
fatcat:za5nrkcvxjeyfdf5nf6fvjsoyy
Development of Novel Average Neuro Fuzzy Hybrid Control Technique for Robot Navigation in Unknown Environments
2020
Advances in Machine Learning & Artificial Intelligence
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The current research focuses on development and analysis of novel Average Neuro-Fuzzy Controller for path planning and navigation of mobile robot in highly cluttered environment. ...
Using the sensors reading robots negotiate with the obstacles present in the environments during navigation from start to goal point. ...
International Journal of Fuzzy Systems 4. Parhi DR, Mohanty PK (2012) A Study of various 22 :1314-1329. methodologies used for navigation of autonomous mobile 17. ...
doi:10.33140/amlai.01.01.08
fatcat:vwtchiqlxrcudczoct5npa6xty
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 ...
mobile robot. ...
Abu Baker, [44] has described how we can get a navigation system by shunning obstacles using the hybrid Neuro-Fuzzy algorithm. ...
doi:10.33564/ijeast.2020.v05i04.013
fatcat:6ayyqxh5enbrplfunh5vkx2vva
Versatile Intelligent Portable Robot Platform Developed through Adaptive Neuro-Fuzzy Control
2019
International Journal of Modeling and Optimization
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It was developed an intelligent control interfaces that apply advanced control technologies adapted to the robot environment such as control by artificial intelligence techniques using adaptive neuro-fuzzy ...
The Cartesian robot workspace, which is learned using an adaptive neuro-fuzzy control for the prediction of desired references was generate. ...
ADAPTIVE NEURO-FUZZY CONTROL INTERFACES WITH REHABILITATION ROBOTS APPLICATIONS Fuzzy logic is widely used worldwide as a landmark of artificial intelligence. ...
doi:10.7763/ijmo.2019.v9.722
fatcat:tdnvamuyl5btfg6ux4tza7nhya
Adaptive Position Tracking System and Force Control Strategy for Mobile Robot Manipulators Using Fuzzy Wavelet Neural Networks
2014
Journal of Intelligent and Robotic Systems
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In this paper, we propose an adaptive position tracking system and a force control strategy for nonholonomic mobile robot manipulators, which incorporate the merits of Fuzzy Wavelet Neural Networks (FWNNs ...
The design of adaptive online learning algorithms is derived using M. T. Long ( ) · Lyapunov stability theorem. ...
Adaptive control based on neural networks (NNs) is also a useful method to deal with the unknown/uncertain dynamics of the mobile robot manipulators system. ...
doi:10.1007/s10846-013-0006-5
fatcat:wsmmq35k5bblfjkzgneoxwkgwu
Tipover Stability Enhancement Of Wheeled Mobile Manipulators Using An Adaptive Neuro- Fuzzy Inference Controller System
2008
Zenodo
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In this paper an algorithm based on the adaptive neuro-fuzzy controller is provided to enhance the tipover stability of mobile manipulators when they are subjected to predefined trajectories for the end-effector ...
base, rule bases are designed for the ANFIS controller and will be exerted on the actuators to enhance the tipover stability of the mobile manipulator. ...
Intelligent mobile manipulator navigation using adaptive neuro-fuzzy systems is considered in [15] . ...
doi:10.5281/zenodo.1076185
fatcat:cnenvhnm6ngbdnjcpqbapx5phu
Research Trends on Fuzzy Logic Controller for Mobile Robot Navigation: A Scientometric Study
2020
Journal of Automation, Mobile Robotics & Intelligent Systems
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The present study shows the scientometric analysis of the publications on the fuzzy logic controller in autonomous mobile robot navigation during the period 2000 to 2018. ...
Ma, "Intelligent mobile manipulator nav-
igation using adaptive neuro-fuzzy systems",
Information Sciences, vol. 171, no. 4, 2005,
447-474,
DOI: 10.1016/j.ins.2004.09.014.
[61] J. Z. ...
Parhi, "Navigation of mul-
tiple mobile robots in a highly clutter terrains
using adaptive neuro-fuzzy inference system",
Robotics and Autonomous Systems, vol. 72,
2015, 48-58,
DOI: 10.1016/j.robot ...
doi:10.14313/jamris/1-2020/11
fatcat:thyoitic7vd5bg6rqnjwjea6qa
Mobile Robot Feature-Based SLAM Behavior Learning, and Navigation in Complex Spaces
[chapter]
2018
Applications of Mobile Robots [Working Title]
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To achieve this, the mobile system was built on diverse levels of intelligence, this includes principle component analysis (PCA), neuro-fuzzy (NF) learning system as a classifier, and fuzzy rule based ...
Mobile intelligence has been based on blending a number of functionaries related to navigation, including learning SLAM map main features. ...
In terms of leaning intelligent navigation, intelligent robot control using an adaptive critic with a task control center and dynamic database was also introduced by Hall et al. [16] . ...
doi:10.5772/intechopen.81195
fatcat:w4qvcalwera5rd7efa2rkjv5qy
Intelligent learning and control of autonomous robotic agents operating in unstructured environments
2002
Information Sciences
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Intelligence helps because it gives systems the capacity to adapt more rapidly to environmental changes or to handle much more complex functions. ...
Because environments and users of systems continuously change, robotic agents have to be adaptive. ...
Fukuda, presents an effective generation method of adjustment strategies for a fuzzy-neuro force controller (FNFC) of a robot manipulator in an unknown environment. ...
doi:10.1016/s0020-0255(02)00221-9
fatcat:ul5wno4oonhvphivc3257pkgqa
2019 Index IEEE Transactions on Cognitive and Developmental Systems Vol. 11
2019
IEEE Transactions on Cognitive and Developmental Systems
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., +, TCDS June 2019 188-199
Fuzzy neural networks
Combined Sensing, Cognition, Learning, and Control for Developing Future
Neuro-Robotics Systems: A Survey. ...
Liu, H., +, TCDS June 2019 176-187 Adaptive Behavior Acquisition of a Robot Based on Affective Feedback and Combined Sensing, Cognition, Learning, and Control for Developing Future Neuro-Robotics Systems ...
doi:10.1109/tcds.2020.2967228
fatcat:6holx3xlrjdjnf5nedahp4fl6m
Design and Simulation of Anfis Controller for Virtual-Reality-Built Manipulator
[chapter]
2012
Fuzzy Controllers- Recent Advances in Theory and Applications
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Hui et al. and Rusu et al. discuss neuro-fuzzy controllers for sensor-based mobile robot navigation. ...
Garbi et al. implemented an adaptive neuro-fuzzy inference system in robotic vehicle navigation [24] [25] [26] . Robots are one way to improve industrial automation productivity. ...
doi:10.5772/48383
fatcat:3dfheqlh4zcuzafcaux6u35lcy
Virtual and intelligent traffic signs in rescue simulation system: Imitation of human society in agent society
2009
2009 IEEE International Symposium on Computational Intelligence in Robotics and Automation - (CIRA)
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This system ...expand Applying a neuro-fuzzy classifier for gesture-based control using a single wrist-
proposes a theoretical approach of gainscheduled fuzzy PI control design based on gain and phase ...
during the navigation mission of autonomous mobile robots. ...
SECTION: Fuzzy logic New fuzzy-based anti-swing controller for helicopter slung-load system near hover Hanafy M. ...
doi:10.1109/cira.2009.5423206
dblp:conf/cira/AsghariMM09
fatcat:r5aq3mrpuvd7zdnf3ju7rflzrq
The Review of Soft Computing Applications in Humanitarian Demining Robots Design
2016
Indian Journal of Science and Technology
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Using different methods such as Neural Network, Fuzzy Logic, Fuzzy Neural Network or other soft computing methods have been able to render the behaviors of these robots more intelligent, more precise, ...
Findings: The advancement of the demining robot along with its becoming more intelligent is of particular importance, so that they would be able to carry out their operations autonomously and adaptively ...
A hexapod robot is designed in this research and a Neuro-fuzzy adaptive controller is used for controlling and coordinating joint movements ( Figure 10 ) 31 . ...
doi:10.17485/ijst/2016/v9i4/55595
fatcat:hehn3iua2rgoddc6wtumflehgq
An Algorithm Based on Neuro-Fuzzy Controller Implemented in A Smart Clothing System For Obstacle Avoidance
2013
International Journal of Computational Intelligence Systems
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In their system, they used neuro-fuzzy
environment. ...
and sonar based area mapping and navigation by
(1998). Navigation strategy of an intelligent mobile mobile robots. 7th IEEE International Conference
robot using fuzzy logic. ...
doi:10.1080/18756891.2013.781336
fatcat:gdhr26lvtnhgngabvt5t3jbo44
Robust Hybrid Intelligent Based Motion Control of Industrial Robot Manipulators for Unstructured Dynamic Environment
2019
Sun International Journal of Engineering and Basic Sciences
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Neuro fuzzy systems are excellent in determining the input and output relationships using a simple data. The traditional fuzzy logic system is replaced with the back propagation neural network. ...
This is possible only with neuro fuzzy techniques since several of its controllers are trained using simple data received from human control of robotic arm and this study quantifies and compares their ...
Ding and Li (1999) , used fuzzy logic system to solve obstacle problem for a redundant manipulator. ...
doi:10.30558/ijebs.20190202001
fatcat:wv3lv7annbcg5mjzobv2d5zfwq
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