Publications

@conference{Ibrahim202258,

title = {Fault detection in wheeled mobile robot based Machine Learning},

author = {F. Ibrahim and B. Boussaid and M. N. Abdelkrim},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85143829283\&doi=10.1109%2fSSD54932.2022.9955871\&partnerID=40\&md5=15010eba650e97082eb31d979c6c10f1},

doi = {10.1109/SSD54932.2022.9955871},

isbn = {9781665471084},

year  = {2022},

date = {2022-01-01},

journal = {2022 19th IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2022},

pages = {58-63},

publisher = {Institute of Electrical and Electronics Engineers Inc.},

abstract = {Robotics gained in importance the attention of researchers nowadays in many fields, in particular monitoring and control. Deployed in harsh environments, Artificial Intelligence has shown a powerful ability to detect and diagnose faults. In this paper, a classification of defects is evaluated using different machines. learning techniques such as Random Forest (RF), Support Vector Machine (SVM), Artificial Neural Network (ANN) and Recurrent Neural network (RNN). A comparative analysis is carried out among the techniques previously mentioned on the basis of detection accuracy (DA), true Positive rate (TPR), Matthews correlation coefficients (MCC) and false alarm rate (FAR). © 2022 IEEE.},

note = {cited By 4},

keywords = {Classification of defects; Diagnosis faults; Faults detection; Harsh environment; Learning techniques; Machine-learning; Monitoring and control; Random forests; Support vectors machine; Wheeled mobile robot, Fault detection; Intelligent robots; Learning systems; Recurrent neural networks; Support vector machines, Mobile robots},

pubstate = {published},

tppubtype = {conference}

}

@conference{Manita20221913,

title = {Wheeled Mobile Robot Control Approaches: Comparative Analysis},

author = {M. Manita and B. Boussaid and M. N. Abdelkrim},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85143749785\&doi=10.1109%2fSSD54932.2022.9955504\&partnerID=40\&md5=dde2e5f9ed2f59845027c408f282a34d},

doi = {10.1109/SSD54932.2022.9955504},

isbn = {9781665471084},

year  = {2022},

date = {2022-01-01},

journal = {2022 19th IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2022},

pages = {1913-1918},

publisher = {Institute of Electrical and Electronics Engineers Inc.},

abstract = {Robotics has gained the attention of researchers nowadays in the fields, especially control and monitoring. This paper topic concerns comparison between different control laws of Wheeled Mobile Robots (WMR) for linear and circular trajectory tracking. We studied the kinematic and dynamic modeling of this robot, then the control study was carried out by four types of control, such as the classic 'PID', the 'backstepping' using lyapunov, also 'Feedback Linearization' and 'Fuzzy Logic', based on the unicycle mobile robot with a nonlinear model. Finally, the comparative study between these methods using Matlab simulink is given. © 2022 IEEE.},

note = {cited By 0},

keywords = {Back-step; Backstep-ping; Control approach; Feedback linearisation; Fuzzy-Logic; Lyapunov; Mobile robot control; Nonholonomics; PID; Wheeled mobile robot, Backstepping; Computer circuits; Feedback linearization; Fuzzy logic, Mobile robots},

pubstate = {published},

tppubtype = {conference}

}

@conference{ElHarabi2012256,

title = {Fuzzy control of a mobile robot with two trailers},

author = {R. El Harabi and S. B. Ali Naoui and M. N. Abdelkrim},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84862086426\&doi=10.1109%2fREVET.2012.6195280\&partnerID=40\&md5=c7c4c3b5aceca584b1163368166dca07},

doi = {10.1109/REVET.2012.6195280},

isbn = {9781467311687},

year  = {2012},

date = {2012-01-01},

journal = {2012 1st International Conference on Renewable Energies and Vehicular Technology, REVET 2012},

pages = {256-262},

abstract = {In this article, a control strategy based on fuzzy approach is proposed for mobile robots with only some states measurement feedback to ensure a stable and accurate navigation, reach a predefined target and avoid obstacle. This approach is applied to a mobile robot like a truck with two trailers attached, witch are added to raise the complexity problem. The simulation results show that the designed fuzzy controller effectively realizes the purpose of the truck/trailers system for reaching target under the restriction of obstacle avoidance. © 2012 IEEE.},

note = {cited By 5},

keywords = {Avoid obstacles; Control strategies; Fuzzy approach; Fuzzy controllers; Measurement feedback; Obstacle problems, Fuzzy control; Fuzzy logic; Lead acid batteries; Robots; Vehicles, Mobile robots},

pubstate = {published},

tppubtype = {conference}

}