Design of Logistic Transporter Robot System

Lora Khaula Amifia, Mochammad Iskandar Riansyah, Putu Duta Putra

Abstract


The diversity of technology in the robotics world is currently developing a lot, especially in logistics distribution. The distribution of logistics goods using robotic power continues to develop towards high artificial intelligence, ensuring warehouse delivery management and intelligence implementation with challenging tasks. Autonomous robots are a community of intelligent robotic systems that can be seen as prototypes. It is an intelligent management and service system of the future that can reveal some important traits of the next generation of smart robot communities. In the smart logistics industry, designing an efficient communication and management platform from logistics robots is one of the fundamental problems. This study aims to implement smart robots in assisting distribution / logistical activities by following humans in bringing goods to the intended area by following green objects.

Keywords


Robot Smart robot Logistic

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A. F. Pratiwi and S. D. Riyanto, “Sistem Penentuan Lokasi dan Penyimpanan Barang Menggunakan LabVIEW dan Sensor Ultrasonik,” J. Teknol. dan Sist. Komput., vol. 5, no. 2, p. 75, 2017, doi: 10.14710/jtsiskom.5.2.2017.76-83.

E. Castelló Ferrer, “The blockchain: A new framework for robotic swarm systems,” Adv. Intell. Syst. Comput., vol. 881, pp. 1037–1058, 2019, doi: 10.1007/978-3-030-02683-7_77.

Y. Liu, L. Wang, H. Huang, M. Liu, and C. Z. Xu, “A novel swarm robot simulation platform for warehousing logistics,” 2017 IEEE Int. Conf. Robot. Biomimetics, ROBIO 2017, vol. 2018-Janua, no. 61603376, pp. 2669–2674, 2018, doi: 10.1109/ROBIO.2017.8324822.

M. Klumpp and C. Ruiner, “Regulation for Artificial Intelligence and Robotics in Transportation, Logistics and Supply Chain Management,” Netw Ind Q, vol. 20, no. 2, pp. 3-7, 2018. Google Scholar

D. Teso-Fz-Betoño, E. Zulueta, U. Fernandez-Gamiz, I. Aramendia, and I. Uriarte, “A Free Navigation of an AGV to a Non-Static Target with Obstacle Avoidance,” Electronics, vol. 8, no. 2, p. 159, 2019, doi: 10.3390/electronics8020159.

M. Perdoch, D. M. Bradley, J. K. Chang, H. Herman, P. Rander, and A. Stentz, “Leader tracking for a walking logistics robot,” IEEE Int. Conf. Intell. Robot. Syst., vol. 2015-Decem, pp. 2994–3001, 2015, doi: 10.1109/IROS.2015.7353790.

“An Improved Indoor Robot Human-Following Navigation Model Using Depth Camera, Active IR Marker and Proximity Sensors Fusion,” Robotics, vol. 7, no. 1, p. 4, 2018, doi: 10.3390/robotics7010004.

DHL, “Blockchain in logistics,” DHL Cust. Solut. Innov., pp. 1–28, 2018. Online

Y. Nagumo and A. Ohya, "Human following behavior of an autonomous mobile robot using light-emitting device," Proceedings 10th IEEE International Workshop on Robot and Human Interactive Communication. ROMAN 2001 (Cat. No.01TH8591), Bordeaux, Paris, France, 2001, pp. 225-230, doi: 10.1109/ROMAN.2001.981906.

T. Niemueller, G. Lakemeyer, S. Reuter, S. Jeschke, and A. Ferrein, “Benchmarking of Cyber-Physical Systems in Industrial Robotics: The Robocup Logistics League as a CPS Benchmark Blueprint,” Cyber-Physical Syst. Found. Princ. Appl., pp. 193–207, 2016, doi: 10.1016/B978-0-12-803801-7.00013-4.

D. Sun, A. Kleiner, and C. Schindelhauer, “Decentralized Hash Tables for Mobile Robot Teams Solving Intra-Logistics Tasks,” Aamas-10, no. Aamas, pp. 923–930, 2010. Online

M. Irfan, “Desain Dan Implementasi Kendali Kecepatan Motor Pada Robot Dengan Empat Roda Omni Menggunakan Metode Logika Fuzzy Design and Implementation of Motor Speed Control on Four Omni Wheeled Robot Using Fuzzy Logic Method,” e-Proceeding of Engineering, vol. 3, no. 2, pp. 1344–1351, 2016. Online

C. N. Viet and I. Marshall, “Vision-Based Obstacle Avoidance for a Small, Low-Cost Robot,” pp. 275–279, 2015, doi: 10.5220/0001648302750279.

C. Dondrup, N. Bellotto, F. Jovan, and M. Hanheide, “Real-time multisensor people tracking for human-robot spatial interaction,” Work. Mach. Learn. Soc. Robot. Int. Conf. Robot. Autom., 2015. Online

G. Cu, A. G. Ang, A. R. Ballesteros, and J. C. Rentoy, “Human following robot using kinect sensor,” La Salle Univ. Res. Congr., pp. 1–7, 2013. Online

G. Doisy, A. Jevtić, E. Lucet, and Y. Edan, “Adaptive person-following algorithm based on depth images and mapping,” IROS 2012 Work. Robot Motion Plan., pp. 43–48, 2012. Online

T. Niemueller, G. Lakemeyer, and A. Ferrein, “The RoboCup Logistics League as a Benchmark for Planning in Robotics,” Proc. ICAPS Work. Plan. Robot., p. 6, 2015. Online




DOI: http://dx.doi.org/10.26555/jiteki.v16i1.16750

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Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI)
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