Motion Control of 5-Degree of Freedom Humanoid Robot Arm System Using Fuzzy Logic Algorithm
Abstract
Humanoid robots are the evidence of the rapid advancement of technology in robotics. One of their applications is replacing humans in certain tasks, such as moving goods. For this type of activity, humanoid robots need arms; however, their arm system is not effective enough because of the material used. Thus, this study proposes the use of filament as the material of frames in robot arms. A 5-degree of freedom (DoF) robot arm system was implemented, and the motor worked as the driving force. The movement of this robotic arm was based on proximity and camera sensor readings. Then, the movement control used fuzzy logic with the Sugeno method. During experimental testing, the humanoid robot arm could grip and move objects from one place to another at varying times according to the object type. The length of time obtained depends on the reading of the proximity sensor on the gripper. In another experiment, the humanoid robot arm could shake hands with humans in real time within 36 sec. In conclusion, the results verified the effectiveness of the proposed fuzzy logic controller with the Sugeno method.
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References
[2] A. Stăncioiu, “The Fourth Industrial Revolution ‘Industry 4.0,’” Fiabil. Şi Durabilitate, vol. 1, no. 19, pp. 74–78, 2017.
[3] P. Tsarouchi et al., “Robotized assembly process using dual arm robot,” Procedia CIrP, vol. 23, pp. 47–52, 2014.
[4] A. Melnyk and P. Henaff, “Bio-inspired plastic controller for a robot arm to shake hand with human,” in 2016 IEEE 36th International Conference on Electronics and Nanotechnology (ELNANO), 2016, pp. 163–168.
[5] A. Sambas and D. S. Rahayu, “Rancang Bangun Robot Arm 2 DOF Berbasis Adaptive Neuro-Fuzzy Inference System (ANFIS),” Al-Jazari J. Mech. Eng., vol. 3, no. 2, pp. 41–45, 2018.
[6] A. S. Trisnawan and D. S. Rahayu, “Rancang Bangun Robot Arm 2 DOF Berbasis Adaptive Neuro-Fuzzy Inference System (ANFIS).”
[7] T. Dewi, S. Nurmaini, P. Risma, Y. Oktarina, and M. Roriz, “Inverse kinematic analysis of 4 DOF pick and place arm robot manipulator using fuzzy logic controller.,” Int. J. Electr. Comput. Eng., vol. 10, no. 2, 2020.
[8] K. Lochan and B. K. Roy, “Control of two-link 2-DOF robot manipulator using fuzzy logic techniques: a review,” in Proceedings of fourth international conference on soft computing for problem solving, 2015, pp. 499–511.
[9] Salim Chennai, “Performance Analysis of Universal Power Quality Conditioner Systems Based on Seven-level NPC Inverter Using PD-SPWM with Fuzzy Control Scheme,” Period. Polytech. Electr. Eng. Comput. Sci., vol. 66, no. 4, pp. 315–324, 2022, doi: https://doi.org/10.3311/PPee.20140.
[10] V. Scherger, H. P. Vigier, and M. G. Barberà-Mariné, “Finding business failure reasons through a fuzzy model of diagnosis,” Fuzzy Econ. Rev., vol. 19, no. 1, p. 45, 2014.
[11] A. Susilawati, J. Tan, D. Bell, and M. Sarwar, “Fuzzy logic based method to measure degree of lean activity in manufacturing industry,” J. Manuf. Syst., vol. 34, pp. 1–11, 2015.
[12] I. J. Orji and S. Wei, “An innovative integration of fuzzy-logic and systems dynamics in sustainable supplier selection: A case on manufacturing industry,” Comput. Ind. Eng., vol. 88, pp. 1–12, 2015.
[13] A. Sarkar, “Application of fuzzy logic in transport planning,” 2012.
[14] S. Rajak, P. Parthiban, and R. Dhanalakshmi, “Sustainable transportation systems performance evaluation using fuzzy logic,” Ecol. Indic., vol. 71, pp. 503–513, 2016.
[15] R. S. Santos, J. Soares, P. C. Marques, H. V. G. Navas, and J. M. Martins, “Integrating business, social, and environmental goals in open innovation through partner selection,” Sustainability, vol. 13, no. 22, p. 12870, 2021.
[16] C. Y. Kang, H. Nabipour, H. S. Chua, and C. C. Kang, “Design of Battery Energy Storage System (BESS) with Fuzzy Control for Pico Hydro,” 2021.
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