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Multi Sensor-Based Obstacle Avoidance Algorithm in Visual Engineering Environment
Abstract
Obstacle avoidance is an essential problem for applications involving multiple wheeled mobile robots. This research proposes a simple obstacle avoidance rule utilizing only one type of sensor, i.e., infrared sensor. In this research, multiple infrared sensors are placed on a mobile robot, arranged 45° radially equidistance. By using a low-cost and easily available infrared sensor, the cost and time consumed to build and repair a wheeled mobile robot are considerably reduced. Avoiding rules, based on simple behavior, such as “turn”, “stop”, “follow”, and “ignore” are developed. By applying these rules, each robot can refer to the motion of other robot or stationary object to avoid collision. Simulation results show that the proposed algorithm performs well, at 66.7% chance of avoiding a moving object and at 93% chance of avoiding a stationary object.
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E. Sahin, "Swarm robotics: From sources of inspiration to domains of application”, Swarm Robot., pp. 10-20, 2004.
Y. F. Zhu and X. M. Tang, "Overview of swarm intelligence”, in International Conference on Computer Application and System Modeling, vol. 9, 2010.
E. D. Marindani, "Robot Mobile Penghindar Halangan (Avoider Mobile Robot) Berbasis Mikrokontroler AT89S51", Jurnal ELKHA, vol. 3, no. 2, pp. 13-19, Juli 2011.
S. K. Indrawan, F. Hadary, and A. Hartoyo, "Rancang Bangun Robot Terbang Penghindar Halangan Dalam Ruangan Bersekat", Jurnal ELKHA, vol. 10, no. 2, pp. 82-87, Oktober 2018.
Rendyansyah et al., "Sistem Navigasi Robot Hexapod Menggunakan Behavior Dan Learning Vector Quantization ", Jurnal ELKHA, vol. 11, no. 1, pp. 33-38, April 2019.
A. H. Shallal, O. N. Ucan, and O. Bayat, "Formation Control and Obstacle Avoidance in Swarm Robots", International Journal of Computer Science and Network Security, vol. 18, no. 3, pp. 126-133, March 2018.
Y. Yu, X. Chen, Z. Lu, F. Li, and B. Zhang, "Obstacle avoidance behavior of swarm robots based on aggregation and disaggregation method", Simulation: Transactions of the Society for Modeling and Simulation International, vol. 93, no. II, pp. 885-898, 2017.
S. M. H. Rostami, A. K. Sangalah, J. Wang, and X. Liu, "Obstacle avoidance of mobile robots using modified artificial potential field algorithm”, EURASIP Journal on Wireless Communications and Networking, vol. 70, 2019.
E. D. Widianto, U. Alfianto, and R. R. Isnanto, "Robot Beroda Perambat Dinding Berbasis Mikrokontroler ATmega 2560 Dilengkapi Kendali Nirkabel dan Penghindar Rintangan", Jurnal Teknologi dan Sistem Komputer, vol. 5, no. 2, pp. 49-56, 2017.
R. Y. Endra et al., "Otomatisasi Navigasi penghindar Obstacle pada Mobile Robot dengan Metode Fuzzy Sugeno dan Mikrokontroler Arduino", EXPLORE: Jurnal Sistem Informasi dan Telematika, vol. 11, no. 2, pp. 110-117, Desember 2020.
S. Sembiring and K. Exaudi, "PERANCANGAN ROBOT KAPAL DENGAN PERILAKU MENGHINDARI RINTANGAN", in Konferensi Nasional Teknologi Informasi dan Aplikasinya / KNTIA, 2017, pp. 117 -124.
A. Suherman, "Robot pencari api dan penghindar rintangan", Telekontran, vol. 3, no. 2, pp. 37-46, October 2015.
B. Rahmat, I G. S. M. Diyasa, and M. M. Munir. "Craft Enterprise Robot (CER) Berbasis Arduino", in Seminar SANTIKA, Jawa Timur, 2019, pp. 144-149.
S. Gustanto, S. Sugeng, A. H. Paronda, and M. Nurjaya. "Kinerja Algoritma Vector Field Histogram Dalam Perilaku Menghindari Rintangan Pada Robot Sepak Bola Beroda", in Seminar Nasional Teknik Elektro UIN Sunan Gunung Djati / SENTER, Bandung, 2019, pp. 220-233.
L. Duan and F. Tao. "Application of Multi-sensor Data Fusion Technology in Wheelbarrow Obstacle Avoidance System”, Journal of Engineering Mechanics and Machinery, vol. 2, no. I, pp. 27-34, 2017.
H. Nascimento, M. Benoussaad, and M. Mujica. "Collision Avoidance Interaction Between Human and a Hidden Robot Based on Kinect and Robot Data Fusion", IEEE Robotics and Automation Letters, vol. 6, no. 1, pp. 88-94, January 2021.
H. F. Durrant-Whyte. "Sensor Models and Multisensor Integration", The International Journal of Robotics Research, vol. 7, no. 6, pp. 97-113, December 1988.
R. Rambabu, M. R. Bahiki and S. Azrad, “Multi-sensor Fusion Based UAV Collision Avoidance System,” Jurnal Teknologi, vol. 76, no. 8, pp. 89-93, 2015.
Y. Yu, “Collision Avoidance Technology of Intelligent Vehicle System Based on Multi-Sensor Fusion,” International Journal of Mechatronics and Applied Mechanics, vol. 1, no. 6, pp. 225-235, 2019.
I. Arrouch, J. M. Saleh and P. A. N. S. Goh, “A Comparative Study of Artificial Neural Network Approach for Autonomous Robot's TTC Prediction,” Int. J. Mech. Eng. Rob. Res., vol. 11, no. 5, pp. 345-350, 2022.
C. Perra, A. Kumar, M. Losito, P. Pirino, M. Moradpour and G. Gatto, “Monitoring Indoor People Presence in Buildings Using Low-Cost Infrared Sensor Array in Doorways,” Sensors, vol. 21, no. 4602, 2021.
R.B. Angus and T. E. Hulbert. VEE Pro: Practical Graphical Programming. United States of America: Springer-Verlag, 2005.
V. Srivastava, K. Yadav and G. Singh, “Measurement Process of MOSFET Device Parameters with VEE Pro Software for DP4T RF Switch,” International Journal of Communications, Network and System Sciences, vol. 4, no. 9, pp. 590-600, 2011.
A. P. Mulmule, R. A. Vatti and P. M. Porwal, “MPPT Technique To Improve Efficiency In Wind-Solar,” International Journal Of Electrical Engineering & Technology, vol. 4, no. 6, pp. 74-82, 2013.
DOI: http://dx.doi.org/10.26418/elkha.v14i2.50036
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