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Neural network controller design for a mobile robot navigation; A case study
2017
2017 4th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)
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By applying neural network, the complexity of mobile robot control can be reduced by choosing the right model of the system, either from mathematical modeling or directly taken from the input of sensory ...
In this study, we compare the presented methods of previous researches that applies neural network to mobile robot navigation. ...
MOBILE ROBOT MODELING The first step of designing the best controller for mobile robot shown in Fig. 1 is by modeling the system. ...
doi:10.1109/eecsi.2017.8239168
fatcat:yvnazsubnfeefapm7ypmpzqori
Modeling and Simulation of autonomous mobile robot system for collision avoidance in VR environment using Simscape-Multibody
2022
Elektrika: Journal of Electrical Engineering
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Autonomous mobile robots have recently become a centre of attention in the robotics community due to their ease of design, modeling and implementation, making them very lucrative in logistics, monitoring ...
The findings of the study demonstrate that it is very much feasible to use such a method for robotic and other complex mechanics applications, and further analysis of the sensor fusion algorithm reveals ...
Navigation is another fundamental part of autonomous mobile robots. ...
doi:10.11113/elektrika.v21n2.384
fatcat:6ugpheaswngt5gp7wdhi7zc2pm
Neuro-fuzzy algorithm implemented in Altera's FPGA for mobile robot's obstacle avoidance mission
2009
TENCON 2009 - 2009 IEEE Region 10 Conference
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Nios® II IDE software is used to simulate and process the weight training. A mobile robot serves as the test platform of the program. ...
An ultrasonic sensor and 3 servo motors are used as the test platform's sensing element and actuator, respectively with 2 servo motors used to move the robot and single servo motor used to adjust the sensing ...
The authors would like to thank Universiti Sains Malaysia for the awarded Short Term Grant 304/PELECT/6035251 to support the research project on obstacle avoidance of an intelligent mobile robot. ...
doi:10.1109/tencon.2009.5396012
fatcat:ud6llxdh2rb7nnjcndf5r7zcby
Object Following Design for a Mobile Robot using Neural Network
2017
Computer Engineering and Applications Journal
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One of the most applied artificial intelligence is neural networks, a good approach for sensors of mobile robot system that is difficult to be modeled with an accurate mathematical equations. ...
Mostly discussed basic navigation of a mobile robot is wall following. ...
The neural network is a good approach for sensors of mobile robot system that is difficult to be modelled with an accurate mathematical equations [11] . ...
doi:10.18495/comengapp.v6i1.189
fatcat:irm2eti4ejcezo2g34xxgfy7fy
An Analysis of Navigation Algorithms for Smartphones Using J2ME
[chapter]
2009
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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In this paper, we study the current feasibility of a smartphone to execute navigation algorithms. As a test case, we use a smartphone to control an autonomous mobile robot. ...
Results show the current mobile Java capacity for executing computationally demanding algorithms and reveal the real possibility of using smartphones for autonomous navigation. ...
Acknowledgments We would like to acknowledge the donations of smartphones by Nokia, Finland. ...
doi:10.1007/978-3-642-01802-2_20
fatcat:ue7kd3tkdnh4poxolvta4awtku
Control and simulation of robotic swarms in heterogeneous environments
2008
Conference Proceedings / IEEE International Conference on Systems, Man and Cybernetics
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The expansion of robotic swarms to heterogeneous environments drives the need to model cooperative operation in those environments. ...
Simulation provides a low cost method of initial testing of control for robotic swarms. ...
Adaptive Modeling Once a physical model of the environment is set up, an adaptive mathematical model may be used to control of the robotic systems. ...
doi:10.1109/icsmc.2008.4811467
dblp:conf/smc/ShaneyfeltJNPKGJ08
fatcat:wqip4ltwfbbd7fjpad5ub74la4
Cyber-Maritime Cycle: Autonomy of Marine Robots for Ocean Sensing
2016
Foundations and Trends in Robotics
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Data collected by the mobile sensing agents should be assimilated into the geo-scientific models to be made useful towards improving the accuracy of model predictions. ...
Not all ocean sensing missions use both the data-driven model and the geo-scientific model. Some field works actually only use geoscientific models. But there are benefits of using both models. ...
doi:10.1561/2300000037
fatcat:tqgwtsgxlbbrlmlipdniwd23w4
Intelligent Vision-based Navigation System for Mobile Robot: A Technological Review
2018
Periodicals of Engineering and Natural Sciences (PEN)
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One of the critical applications for vision system is to navigate mobile robot safely. In order to do so, several technological elements are required. ...
This article focuses on reviewing recent researches conducted on the intelligent vision-based navigation system for the mobile robot. ...
Acknowledgements The authors wish to thank Universiti Teknikal Malaysia Melaka, Silterra Malaysia Sdn. Bhd and Fundamental Research Grant Scheme (FRGS) for financially support this work. ...
doi:10.21533/pen.v6i2.174
fatcat:l3rwgjhsf5g6dcc5yebl54ot6u
Design and Synthesis of Mobile Robot Controller using Fuzzy
2006
2006 IEEE International Conference on Semiconductor Electronics
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Fuzzy Logic is a tool for modeling uncertain systems by facilitating common sense reasoning in decision-making in the absence of complete and precise information. ...
As the complexity of a situation increases, a traditional mathematical model will be difficult if not impossible to implement. ...
They are modeled by the following sets: The navigation of the mobile robot is fairly simple. ...
doi:10.1109/smelec.2006.380752
fatcat:4hg3w3neq5e6jo2p2rrlie65ei
Mobile robot navigation path algorithm in 3d industrial internet of thing (iot) environment based on 5g mobile communication
2019
Sistemnyj Analiz i Prikladnaâ Informatika
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The technical concept of the IoT is to enables these different physical objects to sense information using sensors and sends this information to a server. ...
In this paper, the research focus on 3-D mobile robot tracking in 5G wireless communication combine to sensor network and mobile robot path planning. ...
Accordingly, several kinematic model that are important to the operation of the industrial robot system are identified. ...
doi:10.21122/2309-4923-2019-1-16-24
fatcat:la46hhtvlffd3iuautsvtx7isu
Adaptive Virtual Impedance Control of a Mobile Multi-Robot System
2021
Robotics
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The study includes the development of a mobile multi-robot platform whereby each robot plans a path individually without a supervisor. ...
This paper proposes an improvement of the current virtual impedance algorithm by developing an adaptive virtual impedance controlled mobile multi-robot system focused on dynamic obstacle avoidance with ...
The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results. ...
doi:10.3390/robotics10010019
fatcat:yxj5k6wrhbc2dfmy5rr6npboki
A PID Positioning Controller with a Curve Fitting Model Based on RFID Technology
2013
Journal of Applied Research and Technology
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The PID controllers increase the efficiency of captured RFID tags and the curve fitting model is used to systematically identify the revolutions per minute (RPM) of the motor. ...
We control and monitor the position of the robot from a remote location through a mobile phone via Wi-Fi and Bluetooth network. ...
Acknowledgements This work was supported in part by the National Science Council (NSC) of Republic of China under grant No. NSC 101-2221-E-025-006. ...
doi:10.1016/s1665-6423(13)71540-2
fatcat:4uv3jc4znzfi7hdzhopxsnj5vu
Intelligent Robotics Navigation System: Problems, Methods, and Algorithm
2017
International Journal of Electrical and Computer Engineering (IJECE)
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This paper set out to supplement new studies with a brief and comprehensible review of the advanced development in the area of the navigation system, starting from a single robot, multi-robot, and swarm ...
The combination of the navigation system and biologically inspired approach has attracted considerable attention, which makes it an important research area in the intelligent robotic system. ...
research work as well as for the grant of Unggulan Perguruan Tinggi 2017 and Hibah Bersaing 2017. ...
doi:10.11591/ijece.v7i6.pp3711-3726
fatcat:dysypuj4hvdyzlyfd5eackxtcq
PSO based path planner of an autonomous mobile robot
2012
Open Computer Science
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AbstractA novel approach based on particle swarm optimization has been presented in this paper for solving mobile robot navigation task. ...
From the obtained fitness values of each particle in the swarm, the robot moves towards the particle which is having optimal fitness value. ...
Let us consider the positions of 'n' particles are:
Figure 1 . 1 Basic structure of PSO for global best approximation.
Figure 2 . 2 Flow chart for mobile robot navigation using PSO. ...
doi:10.2478/s13537-012-0009-5
fatcat:zc56aavnyndg3nkyyox4acqw5q
Probabilistic Fuzzy Control of Mobile Robots for Range Sensor Based Reactive Navigation
2011
Intelligent Control and Automation
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In this paper, a probabilistic fuzzy approach is proposed for mobile-robot reactive navigation using range sensors. ...
The feasibility and effectiveness of the proposed approach are verified by simulation and the experiments on a real mobile robot. ...
Hence PFLS will be more valuable for the processing of various uncertainties and the reactive navigation control of mobile robots. ...
doi:10.4236/ica.2011.22009
fatcat:cwy3rb226neejkaopib2hm3qsu
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