Uneingeschränkter Zugang

Optimized design of robot movement based on fuzzy model minimal repair algorithm

  
03. Sept. 2024

Zitieren
COVER HERUNTERLADEN

Desjardins, B., Falcon, R., Abielmona, R., & Petriu, E. (2017). Planning robust sensor relocation trajectories for a mobile robot with evolutionary multi-objective optimization. Computational Intelligence in Wireless Sensor Networks: Recent Advances and Future Challenges, 179-210. Search in Google Scholar

Tzafestas, S. G. (2018). Mobile robot control and navigation: A global overview. Journal of Intelligent & Robotic Systems, 91, 35-58. Search in Google Scholar

Zhang, H. Y., Lin, W. M., & Chen, A. X. (2018). Path planning for the mobile robot: A review. Symmetry, 10(10), 450. Search in Google Scholar

Parker, L. E., Rus, D., & Sukhatme, G. S. (2016). Multiple mobile robot systems. Springer handbook of robotics, 1335-1384. Search in Google Scholar

Boufera, F., Debbat, F., Monmarché, N., Slimane, M., & Khelfi, M. F. (2018). Fuzzy inference system optimization by evolutionary approach for mobile robot navigation. International Journal of Intelligent Systems and Applications, 15(2), 85. Search in Google Scholar

Khalifeh, A., Rajendiran, K., Darabkh, K. A., Khasawneh, A. M., AlMomani, O., & Zinonos, Z. (2019). On the potential of fuzzy logic for solving the challenges of cooperative multi-robotic wireless sensor networks. Electronics, 8(12), 1513. Search in Google Scholar

Prakash, K., Parimala, M., Garg, H., & Riaz, M. (2022). Lifetime prolongation of a wireless charging sensor network using a mobile robot via linear Diophantine fuzzy graph environment. Complex & Intelligent Systems, 8(3), 2419-2434. Search in Google Scholar

Cherroun, L., Boumehraz, M., & Kouzou, A. (2019). Mobile robot path planning based on optimized fuzzy logic controllers. New Developments and Advances in Robot Control, 255-283. Search in Google Scholar

Messous, M. A., Sedjelmaci, H., & Senouci, S. M. (2017). Implementing an emerging mobility model for a fleet of UAVs based on a fuzzy logic inference system. Pervasive and Mobile Computing, 42, 393-410. Search in Google Scholar

Kamil, F., Hong, T. S., Khaksar, W., Zulkifli, N., & Ahmad, S. A. (2019). An ANFIS-based optimized fuzzy-multilayer decision approach for a mobile robotic system in ever-changing environment. International journal of control, Automation and Systems, 17, 253-266. Search in Google Scholar

Precup, R. E., Voisan, E. I., Petriu, E. M., Tomescu, M. L., David, R. C., Szedlak-Stinean, A. I., & Roman, R. C. (2020). Grey wolf optimizer-based approaches to path planning and fuzzy logic-based tracking control for mobile robots. International Journal of Computers Communications & Control, 15(3). Search in Google Scholar

Gharajeh, M. S., & Jond, H. B. (2022). An intelligent approach for autonomous mobile robots path planning based on adaptive neuro-fuzzy inference system. Ain Shams Engineering Journal, 13(1), 101491. Search in Google Scholar

Masmoudi, M. S., Krichen, N., Masmoudi, M., & Derbel, N. (2016). Fuzzy logic controllers design for omnidirectional mobile robot navigation. Applied soft computing, 49, 901-919. Search in Google Scholar

Abdalla, T. Y., Abed, A. A., & Ahmed, A. A. (2017). Mobile robot navigation using PSO-optimized fuzzy artificial potential field with fuzzy control. Journal of Intelligent & Fuzzy Systems, 32(6), 3893-3908. Search in Google Scholar

Mondal, S., Ray, R., Reddy, S., & Nandy, S. (2022). Intelligent controller for nonholonomic wheeled mobile robot: A fuzzy path following combination. Mathematics and Computers in Simulation, 193, 533-555. Search in Google Scholar

Juang, C. F., Lu, C. H., & Huang, C. A. (2020). Navigation of three cooperative object-transportation robots using a multistage evolutionary fuzzy control approach. IEEE Transactions on Cybernetics, 52(5), 3606-3619. Search in Google Scholar

Zhou, F., Wang, X., & Goh, M. (2018). Fuzzy extended VIKOR-based mobile robot selection model for hospital pharmacy. International Journal of Advanced Robotic Systems, 15(4), 1729881418787315. Search in Google Scholar

Kim, C., & Won, J. S. (2020). A fuzzy analytic hierarchy process and cooperative game theory combined multiple mobile robot navigation algorithm. Sensors, 20(10), 2827. Search in Google Scholar

Sahu, J., Choudhury, B. B., Muni, M. K., & Patra, M. R. (2015). An effective selection of mobile robot model using fuzzy logic approach. Materials Today: Proceedings, 2(4-5), 2605-2614. Search in Google Scholar

Mohanta, J. C., & Keshari, A. (2019). A knowledge based fuzzy-probabilistic roadmap method for mobile robot navigation. Applied Soft Computing, 79, 391-409. Search in Google Scholar

Arun, K. K., Mydhili, S. K., Baskar, S., & Shakeel, P. M. (2022). Fuzzy rule-based environment-aware autonomous mobile robots for actuated touring. Intelligent Service Robotics, 15(3), 427-436. Search in Google Scholar

Algabri, M., Mathkour, H., Ramdane, H., & Alsulaiman, M. (2015). Comparative study of soft computing techniques for mobile robot navigation in an unknown environment. Computers in human behavior, 50, 42-56. Search in Google Scholar

Ben Jabeur, C., & Seddik, H. (2021). Design of a PID optimized neural networks and PD fuzzy logic controllers for a two‐wheeled mobile robot. Asian Journal of Control, 23(1), 23-41. Search in Google Scholar

Amador-Angulo, L., Mendoza, O., Castro, J. R., Rodríguez-Díaz, A., Melin, P., & Castillo, O. (2016). Fuzzy sets in dynamic adaptation of parameters of a bee colony optimization for controlling the trajectory of an autonomous mobile robot. Sensors, 16(9), 1458. Search in Google Scholar

Sathiya, V., Chinnadurai, M., & Ramabalan, S. (2022). Mobile robot path planning using fuzzy enhanced improved Multi-Objective particle swarm optimization (FIMOPSO). Expert systems with applications, 198, 116875. Search in Google Scholar

Pandey, A., & Parhi, D. R. (2017). Optimum path planning of mobile robot in unknown static and dynamic environments using Fuzzy-Wind Driven Optimization algorithm. Defence Technology, 13(1), 47-58. Search in Google Scholar

Bakdi, A., Hentout, A., Boutami, H., Maoudj, A., Hachour, O., & Bouzouia, B. (2017). Optimal path planning and execution for mobile robots using genetic algorithm and adaptive fuzzy-logic control. Robotics and Autonomous Systems, 89, 95-109. Search in Google Scholar

Zhicheng Chen,Bing Zhu,Jian Zhao,Jian Wu,Hao Guan,Hualin Xu & Zhipeng Liu.(2024).Longitudinal and lateral coupling vehicle stability controller designed based on piecewise T-S fuzzy model.Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering(7),1880-1895. Search in Google Scholar

Safari Parvin & Salehi Saeed.(2018).Kripke semantics for fuzzy logics.Soft Computing(3),839-844. Search in Google Scholar

Yang Zhen,Li Junli,Yang Liwei & Chen Hejiang.(2022).A Smooth Jump Point Search Algorithm for Mobile Robots Path Planning Based on a Two-Dimensional Grid Model.Journal of Robotics. Search in Google Scholar

Ashish Bhalkikar,Smrithi Lokesh & K.P. Ashwin.(2024).Kinematic models for Cable-driven Continuum Robots with multiple segments and varying cable offsets.Mechanism and Machine Theory105701-. Search in Google Scholar

Sprache:
Englisch
Zeitrahmen der Veröffentlichung:
1 Hefte pro Jahr
Fachgebiete der Zeitschrift:
Biologie, Biologie, andere, Mathematik, Angewandte Mathematik, Mathematik, Allgemeines, Physik, Physik, andere