Document Type : Original Research
Alshihabi, M., Ozkahraman, M., & Kayacan, M. Y. (2025). Enhancing the reliability of a robotic arm through lightweighting and vibration control with modal analysis and topology optimization. Mechanics Based Design of Structures and Machines, 53(3), 1950–1974. https://doi.org/10.1080/15397734.2024.2400207
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Bahani, A., El houssine Ech-Chhibat, M., Samri, H., & Elattar, H. A. (2023). The Inverse Kinematics Evaluation of 6-DOF Robots in Cooperative Tasks Using Virtual Modeling Design and Artificial Intelligence Tools. International Journal of Mechanical Engineering and Robotics Research, 12(2), 121–130. https://doi.org/10.18178/IJMERR.12.2.121-130
Boyer, F., & Porez, M. (2015). Multibody system dynamics for bio-inspired locomotion: from geometric structures to computational aspects. Bioinspiration & Biomimetics, 10(2), 025007. https://doi.org/10.1088/1748-3190/10/2/025007
Cruz, G. L., Alazki, H., Cortes-Vega, D., & Rullán-Lara, J. L. (2021). Application of Robust Discontinuous Control Algorithm for a 5-DOF Industrial Robotic Manipulator in real-time. Journal of Intelligent & Robotic Systems 2021 101:4, 101(4), 75-. https://doi.org/10.1007/S10846-020-01282-1
Dumitru, S., Copilusi, C., Dumitru, N., & Geonea, I. (2024). A Dynamic Analysis of a Poly-Articulated Robot. Computation 2024, Vol. 12, Page 156, 12(8), 156. https://doi.org/10.3390/COMPUTATION12080156
Elgohr, A. T., Kasem, H. M., & Elhadidy, M. S. (2025). Comparative analysis of robotic arms path planning techniques: case study of the KUKA KR4 R600 using the Whale optimization algorithm. International Journal of Intelligent Robotics and Applications 2025 10:1, 10(1), 209–226. https://doi.org/10.1007/S41315-025-00501-Y
Kuo, P. H., Syu, M. J., Yin, S. Y., Liu, H. H., Zeng, C. Y., Lin, W. C., & Yau, H. T. (2024). Intelligent optimization algorithms for control error compensation and task scheduling for a robotic arm. International Journal of Intelligent Robotics and Applications 2024 8:2, 8(2), 334–356. https://doi.org/10.1007/S41315-024-00328-Z
Kuo, Y. L., & Huang, P. Y. (2017). Experimental and simulation studies of motion control of a Delta robot using a model-based approach. International Journal of Advanced Robotic Systems, 14(6). https://doi.org/10.1177/1729881417738738
Li, M., Wu, F., Wang, F., Zou, T., Li, M., & Xiao, X. (2024). CNN-MLP-Based Configurable Robotic Arm for Smart Agriculture. Agriculture 2024, Vol. 14, Page 1624, 14(9), 1624. https://doi.org/10.3390/AGRICULTURE14091624
Liu, S., Wang, F., Lin, M., Liu, J., & Yao, K. (2023). Analysis and test of the kinematics characteristics of the robotic arm for a mango harvesting vehicle. Transactions of the Chinese Society of Agricultural Engineering, 40(1), 58–67. https://doi.org/10.11975/J.ISSN.1002-6819.202306172
Liu, Z., Peng, K., Han, L., & Guan, S. (2023). Modeling and Control of Robotic Manipulators Based on Artificial Neural Networks: A Review. Iranian Journal of Science and Technology - Transactions of Mechanical Engineering, 47(4), 1307–1347. https://doi.org/10.1007/S40997-023-00596-3
Lv, Y., Peng, Z., Qu, C., & Zhu, D. (2020). An adaptive trajectory planning algorithm for robotic belt grinding of blade leading and trailing edges based on material removal profile model. Robotics and Computer-Integrated Manufacturing, 66, 101987. https://doi.org/10.1016/J.RCIM.2020.101987
Mateo Sanguino, T. J., & Andújar Márquez, J. M. (2012). Simulation tool for teaching and learning 3D kinematics workspaces of serial robotic arms with up to 5-DOF. Computer Applications in Engineering Education, 20(4), 750–761. https://doi.org/10.1002/CAE.20433
Mohammadi, M., Bazargan Lari, Y., & Bazargan Lari, K. (2026). Centipede optimization algorithm: Best-of-L local search with contractive consensus for constrained engineering optimization. Neurocomputing, 659, 131774. https://doi.org/10.1016/J.NEUCOM.2025.131774
Mohammadi, M., Lari, Y. B., & Nazemosadat, S. M. R. (2026). Vibration-based non-destructive evaluation of dual cracks in bidirectionally functionally graded nanobeams: a nonlocal elasticity–metaheuristic optimisation framework for structural health monitoring. Nondestructive Testing and Evaluation. https://doi.org/10.1080/10589759.2026.2713683
Mohammadi, M., Nazemosadat, S. M. R., & Afsari, A. (2024). Modeling and Analysis of a Tractor Diesel Engine Test Stand Structure Using the Finite Element Method. Biomechanism and Bioenergy Research, 3(2), 75–87. https://doi.org/10.22103/BBR.2024.24161.1090
Mohammadi, M., Nazemosadat, S. M. R., Bazargan Lari, Y., Afsari, A., & Bahramkia, A. (2026). A Review of Solar-Powered, Robotic, and AI-Driven Agricultural Machinery for Smart and Sustainable Farming. Biomechanism and Bioenergy Research, 5(1), 41–61. https://doi.org/10.22103/BBR.2026.26353.1141
Mohammadi, M., Nazemosadat, S. M. R., Fazel, D., & Bazargan Lari, Y. (2025). An integrated approach for structural modeling, modal analysis, and aerodynamic evaluation of an electric vehicle body shell using finite element method and computational fluid dynamics. Materials Today Communications, 45, 112331. https://doi.org/10.1016/J.MTCOMM.2025.112331
Mohammadi, M., Nazemosadat, S. M. R., & Afsari, A. (2025). Advanced Modeling and Analysis of Diesel Engine Test Support Structure (ETSS) Using (FEM) and (XFEM): A Comprehensive Study on Fracture Mechanics, Fatigue Life, and Modal Analysis of Crack Growth. International Journal of Advanced Design and Manufacturing Technology, Issue 3, Vol. 18, p. 25-42. https://doi.org/10.71644/admt.2025.1198975
Nguyen-Tuong, D., & Peters, J. (2011). Model learning for robot control: a survey. Cognitive Processing 2011 12:4, 12(4), 319–340. https://doi.org/10.1007/S10339-011-0404-1
Pietruś, P., & Gierlak, P. (2023). Influence of the Manipulator Configuration on Vibration Effects. Acta Mechanica et Automatica, 17(4), 515–522. https://doi.org/10.2478/AMA-2023-0060
Pratheep, V. G., Chinnathambi, M., Priyanka, E. B., Ponmurugan, P., & Thiagarajan, P. (2021). Design and Analysis of six DOF Robotic Manipulator. IOP Conference Series: Materials Science and Engineering, 1055(1), 012005. https://doi.org/10.1088/1757-899X/1055/1/012005
Wang, X., Xuan, H., Zhao, S., Ye, K., & Dai, L. (2024). Co-simulation Research of Pipeline Welding Robot Based on MATLAB and ADAMS. Proceedings - 2024 International Conference on Intelligent Computing and Robotics, ICICR 2024, 162–168. https://doi.org/10.1109/ICICR61203.2024.00038
Xie, B., Jin, M., Duan, J., Li, Z., Wang, W., Qu, M., & Yang, Z. (2024). Design of Adaptive Grippers for Fruit-Picking Robots Considering Contact Behavior. Agriculture (Switzerland), 14(7), 1082. https://doi.org/10.3390/AGRICULTURE14071082/S1
Zhong, J., Jiang, W., Zhang, Q., & Zhang, W. (2023). Design and Simulation of a Seven-Degree-of-Freedom Hydraulic Robot Arm. Actuators