[1]R. R. Shamshiri,C. Weltzien, I. A. Hameed, I. J. Yule, T. E. Grift, S. K. Balasundram, L. Pitonakova, D. Ahmad, and G. Chowdhary, "Research and Development in Agricultural Robotics: A Perspective of Digital Farming," Int. J. Agric & Biol Eng., Vol. 11, No. 4, pp. 1-14, 2018.
[2]Dewi T., Risma P., Oktarina Y., and Kusumanto RD., 2019, Motion Control Analysis of a Spherical Robot as a Surveillance Robot, Journal of Physics: Conference Series, 1167(1), 012004.
[3]Oktarina Y., Dewi T., and Risma T., 2020, The Concept of Automatic Transport System Utilizing Weight Sensor, Computer Engineering and Application Journal,9(2), pp. 155-163. doi:10.18495/COMENGAPP.V0I0.339
[4]Dewi T., Risma P., Taqwa A., Rusdianasari, and Renaldi H., 2020, Experimental analysis on solar powered mobile robot as the prototype for environmentally friendly automated transportation, Proc. iCAST on Engineering Science, 24-25 Oct 2019, Bali: Indonesia, doi:10.1088/1742-6596/1450/1/012034.
[5]B.K. Patle, Alok Jha, Anish Pandey, N. Gudadhe, S.K. Kashyap, The Optimized Path For A Mobile Robot Using Fuzzy Decision Function, Materials Today: Proceedings, Vol 18, No 7, pp 3575-3581, 2019. https://doi.org/10.1016/j.matpr.2019.07.288.
[6]Dewi T., Risma P., Oktarina Y., and Muslimin S., 2018, Visual Servoing Design and Control for Agriculture Robot; a Review, pp. 57-62, Proc. 2019 ICECOS, 2-4 Oct. 2018, Pangkal Pinang: Indonesia. doi: 10.1109/ICECOS.2018.8605209.
[7]Dewi T., Risma P., and Oktarina Y., 2020, Fruit Sorting Robot based on Color and Size for an Agricultural Product Packaging System, Bulletin of Electrical Engineering, and Informatics (BEEI), 9(4), pp. 1438-1445. doi:10.11591/eei.v9i4.2353.
[8]Dewi T., Mulya Z., Risma P., and Oktarina Y., 2021, BLOB Analysis of an Automatic Vision Guided System for a Fruit Picking and Placing Robot, International Journal of Computational Vision and Robotics, 11(3), pp. 315-326. https://doi.org/10.1504/IJCVR.2021.115161.
[9]Dewi T., Anggraini C., Risma P., Oktarina Y., and Muslikhin, 2021, Motion Control Analysis of Two Collaborative Arm Robots in Fruit Packaging System, SINERGI, 25(2), pp. 217-226. http://doi.org/10.22441/sinergi.2021.2.013
[10]Oktarina Y., Dewi T., Risma P., and Nawawi M., 2020, Tomato HarvestingArm Robot Manipulator; a Pilot Project, Journal of Physics: Conference Series, 1500, p 012003, Proc. 3rdFIRST, Palembang: Indonesia.
[11]Al Yahmedi A.S., and Fatmi M.A., 2016. Fuzzy Logic Based Navigation of Mobile Robots,” Intech, 6, pp. 111-133.
[12]Dewi T., Uchiyama N., Sano S., and Takahashi H., 2014, Swarm Robot Control for Human Services and Moving Rehabilitation by Sensor Fusion, Journal of Robotics, 2014(278659), 11 pages. https://doi.org/10.1155/2014/278659.
[13]Dewi T., Amperawan, Risma P., Oktarina Y., and Yudha D. A., 2020, Finger Cue for Mobile Robot Motion Control, Computer Engineering and Application Journal, 9(1), pp. 39-48. doi: 10.18495/COMENGAPP.V9I1.319.
[14]Dewi T., Oktarina Y., Risma P., and Kartini S., 2019, DesainRobot Pengikut Manusia Sederhana dengan Fuzzy Logic Controller, Proc. Annual Research Seminar (ARS), 5(1), pp. 12-16, 16 Nov 2019, Palembang: Indonesia.
[15]Uchiyama N., Dewi T., and Sano S., 2014, Collision Avoidance Control for a Human-Operated Four WheeledMobile Robot, Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 228(13), pp. 2278-2284. https://doi.org/10.1177/0954406213518523.
[16]Oktarina Y., Septiarini F., Dewi T., Risma P., and Nawawi M., 2019, Fuzzy-PID Controller Design of 4 DOF Industrial Arm Robot Manipulator, Computer Engineering and Application Journal, 8(2), pp. 123-136. doi: 10.18495/COMENGAPP.V8I2.300.
[17]Nurmaini S., Tutuko B., Dewi K., Yuliza V., and Dewi T., 2017, Improving Posture Accuracy of Non-holonomic Mobile Robot system with Variable Universe of Discourse, TELKOMNIKA, 15(3). Pp. 1265-1279. doi: 10.12928/TELKOMNIKA.v15i3.6078.
[18]Dewi T., Wijanarko Y., Risma P., and Oktarina Y., 2018, Fuzzy Logic Controller Design for Leader-Follower Robot Navigation, 5thProc. EECSI,5(1), pp. 298-303. 16-18 Oct 2018, Malang : Indonesia. doi:10.1109/EECSI.2018.8752696.
[19]Dewi T., Risma P., and Oktarina Y., 2018, Fuzzy Logic Simulation as a Teaching-learning Media for Artificial Intelligence Class, Journal of Automation Mobile Robotics and Intelligent Systems, 12(3), pp. 3-9, 2018, DOI: 10.14313/JAMRIS\_3-2018/13
[20]Dewi T., Sitompul C., Risma P., Oktarina Y., Jelista R., Mulyati M., 2019, Simulation Analysis of Formation Control Design of Leader-Follower Robot Using Fuzzy Logic Controller, Proc 2019 ICECOS, 2-3 Oct. 2019, Batam Island: Indonesia. doi:10.1109/ICECOS47637.2019.8984433.
[21]Farooq U., Amar M., Asad M.U., Hanif A., and Saleh S.O., 2014. Design and Implementation of Neural Network of Based Controller for Mobile Robot Navigation in Unknown Environment. International Journal of Computer and Electrical Engineering, 6(2), pp. 83-89. doi:10.7763/IJCEE.2014.V6.799
[22]Yudha H. M., Dewi T., Hasana N., Risma P., Oktarina, Y. Kartini S., 2019, Performance Comparison of Fuzzy Logic and Neural Network Design for Mobile Robot Navigation, Proc. 2019 ICECOS, 2-3 Oct. 2019, Batam Island: Indonesia. doi:10.1109/ICECOS47637.2019.8984577
[23]Larasati N., Dewi T., and Oktarina Y., 2017. Object Following Design for a Mobile Robot using Neural Network. Computer Engineering and Application Journal, 6(1), pp. 5-14. doi:10.18495/COMENGAPP.V6I1.189.
[24]Dewi T., Risma P., Oktarina Y., and Roseno M.T., 2017. Neural Network Design for a Mobile Robot Navigation a Case Study. 4th Proc. EECSI. 23-24 Sep. 2017. Yogyakarta: Indonesia. doi:10.1109/EECSI.2017.8239168.
[25]Dewi T., Risma P., Oktarina Y., and Nawawi M., 2017. Neural Network Simulation for Obstacle Avoidance and Wall Follower Robot as a Helping Tool for Teaching-Learning Process in Classroom. 1st Proc. ICEAT, 29-30 November 2017, Mataram: Indonesia. doi:10.1088/1757-899X/403/1/012043
[26]Risma P., Dewi T., Oktarina Y., and Wijanarko Y., 2019. Neural Network Controller Application on a Visual based Object Tracking and Following Robot. Computer Engineering andApplication Journal, 8(1). doi: 10.18495/COMENGAPP.V8I1.280.
[2]Dewi T., Risma P., Oktarina Y., and Kusumanto RD., 2019, Motion Control Analysis of a Spherical Robot as a Surveillance Robot, Journal of Physics: Conference Series, 1167(1), 012004.
[3]Oktarina Y., Dewi T., and Risma T., 2020, The Concept of Automatic Transport System Utilizing Weight Sensor, Computer Engineering and Application Journal,9(2), pp. 155-163. doi:10.18495/COMENGAPP.V0I0.339
[4]Dewi T., Risma P., Taqwa A., Rusdianasari, and Renaldi H., 2020, Experimental analysis on solar powered mobile robot as the prototype for environmentally friendly automated transportation, Proc. iCAST on Engineering Science, 24-25 Oct 2019, Bali: Indonesia, doi:10.1088/1742-6596/1450/1/012034.
[5]B.K. Patle, Alok Jha, Anish Pandey, N. Gudadhe, S.K. Kashyap, The Optimized Path For A Mobile Robot Using Fuzzy Decision Function, Materials Today: Proceedings, Vol 18, No 7, pp 3575-3581, 2019. https://doi.org/10.1016/j.matpr.2019.07.288.
[6]Dewi T., Risma P., Oktarina Y., and Muslimin S., 2018, Visual Servoing Design and Control for Agriculture Robot; a Review, pp. 57-62, Proc. 2019 ICECOS, 2-4 Oct. 2018, Pangkal Pinang: Indonesia. doi: 10.1109/ICECOS.2018.8605209.
[7]Dewi T., Risma P., and Oktarina Y., 2020, Fruit Sorting Robot based on Color and Size for an Agricultural Product Packaging System, Bulletin of Electrical Engineering, and Informatics (BEEI), 9(4), pp. 1438-1445. doi:10.11591/eei.v9i4.2353.
[8]Dewi T., Mulya Z., Risma P., and Oktarina Y., 2021, BLOB Analysis of an Automatic Vision Guided System for a Fruit Picking and Placing Robot, International Journal of Computational Vision and Robotics, 11(3), pp. 315-326. https://doi.org/10.1504/IJCVR.2021.115161.
[9]Dewi T., Anggraini C., Risma P., Oktarina Y., and Muslikhin, 2021, Motion Control Analysis of Two Collaborative Arm Robots in Fruit Packaging System, SINERGI, 25(2), pp. 217-226. http://doi.org/10.22441/sinergi.2021.2.013
[10]Oktarina Y., Dewi T., Risma P., and Nawawi M., 2020, Tomato HarvestingArm Robot Manipulator; a Pilot Project, Journal of Physics: Conference Series, 1500, p 012003, Proc. 3rdFIRST, Palembang: Indonesia.
[11]Al Yahmedi A.S., and Fatmi M.A., 2016. Fuzzy Logic Based Navigation of Mobile Robots,” Intech, 6, pp. 111-133.
[12]Dewi T., Uchiyama N., Sano S., and Takahashi H., 2014, Swarm Robot Control for Human Services and Moving Rehabilitation by Sensor Fusion, Journal of Robotics, 2014(278659), 11 pages. https://doi.org/10.1155/2014/278659.
[13]Dewi T., Amperawan, Risma P., Oktarina Y., and Yudha D. A., 2020, Finger Cue for Mobile Robot Motion Control, Computer Engineering and Application Journal, 9(1), pp. 39-48. doi: 10.18495/COMENGAPP.V9I1.319.
[14]Dewi T., Oktarina Y., Risma P., and Kartini S., 2019, DesainRobot Pengikut Manusia Sederhana dengan Fuzzy Logic Controller, Proc. Annual Research Seminar (ARS), 5(1), pp. 12-16, 16 Nov 2019, Palembang: Indonesia.
[15]Uchiyama N., Dewi T., and Sano S., 2014, Collision Avoidance Control for a Human-Operated Four WheeledMobile Robot, Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 228(13), pp. 2278-2284. https://doi.org/10.1177/0954406213518523.
[16]Oktarina Y., Septiarini F., Dewi T., Risma P., and Nawawi M., 2019, Fuzzy-PID Controller Design of 4 DOF Industrial Arm Robot Manipulator, Computer Engineering and Application Journal, 8(2), pp. 123-136. doi: 10.18495/COMENGAPP.V8I2.300.
[17]Nurmaini S., Tutuko B., Dewi K., Yuliza V., and Dewi T., 2017, Improving Posture Accuracy of Non-holonomic Mobile Robot system with Variable Universe of Discourse, TELKOMNIKA, 15(3). Pp. 1265-1279. doi: 10.12928/TELKOMNIKA.v15i3.6078.
[18]Dewi T., Wijanarko Y., Risma P., and Oktarina Y., 2018, Fuzzy Logic Controller Design for Leader-Follower Robot Navigation, 5thProc. EECSI,5(1), pp. 298-303. 16-18 Oct 2018, Malang : Indonesia. doi:10.1109/EECSI.2018.8752696.
[19]Dewi T., Risma P., and Oktarina Y., 2018, Fuzzy Logic Simulation as a Teaching-learning Media for Artificial Intelligence Class, Journal of Automation Mobile Robotics and Intelligent Systems, 12(3), pp. 3-9, 2018, DOI: 10.14313/JAMRIS\_3-2018/13
[20]Dewi T., Sitompul C., Risma P., Oktarina Y., Jelista R., Mulyati M., 2019, Simulation Analysis of Formation Control Design of Leader-Follower Robot Using Fuzzy Logic Controller, Proc 2019 ICECOS, 2-3 Oct. 2019, Batam Island: Indonesia. doi:10.1109/ICECOS47637.2019.8984433.
[21]Farooq U., Amar M., Asad M.U., Hanif A., and Saleh S.O., 2014. Design and Implementation of Neural Network of Based Controller for Mobile Robot Navigation in Unknown Environment. International Journal of Computer and Electrical Engineering, 6(2), pp. 83-89. doi:10.7763/IJCEE.2014.V6.799
[22]Yudha H. M., Dewi T., Hasana N., Risma P., Oktarina, Y. Kartini S., 2019, Performance Comparison of Fuzzy Logic and Neural Network Design for Mobile Robot Navigation, Proc. 2019 ICECOS, 2-3 Oct. 2019, Batam Island: Indonesia. doi:10.1109/ICECOS47637.2019.8984577
[23]Larasati N., Dewi T., and Oktarina Y., 2017. Object Following Design for a Mobile Robot using Neural Network. Computer Engineering and Application Journal, 6(1), pp. 5-14. doi:10.18495/COMENGAPP.V6I1.189.
[24]Dewi T., Risma P., Oktarina Y., and Roseno M.T., 2017. Neural Network Design for a Mobile Robot Navigation a Case Study. 4th Proc. EECSI. 23-24 Sep. 2017. Yogyakarta: Indonesia. doi:10.1109/EECSI.2017.8239168.
[25]Dewi T., Risma P., Oktarina Y., and Nawawi M., 2017. Neural Network Simulation for Obstacle Avoidance and Wall Follower Robot as a Helping Tool for Teaching-Learning Process in Classroom. 1st Proc. ICEAT, 29-30 November 2017, Mataram: Indonesia. doi:10.1088/1757-899X/403/1/012043
[26]Risma P., Dewi T., Oktarina Y., and Wijanarko Y., 2019. Neural Network Controller Application on a Visual based Object Tracking and Following Robot. Computer Engineering andApplication Journal, 8(1). doi: 10.18495/COMENGAPP.V8I1.280.
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Affiliations
Yurni Oktarina
Politeknik Negeri Sriwijaya Palembang
Destri Zumar Sastiani
Affiliation not stated
Tresna Dewi
Affiliation not stated
Simulation Design of Artificial Intelligence Controlled Goods Transport Robot
Abstract
Technological advances enable scientists and researchers to develop more automated systems for life's convenience. Transportation is among those conveniences needed in daily activities, including warehouses. The easy-to-build and straightforward transport robot are desired to ease human workers' working conditions. The application of artificial intelligence (AI), Fuzzy Logic Controller, and Neural Network ensures the robot is able to finish assigned tasks better and faster. This paper shows the concept design of an AI-controlled good transport robot applied in the warehouse. The design is made as fast and straightforward forward possible, and the feasibility of the proposed method is proven by simulation in Scilab FLT and Neuroph.