Fuzzy inference for crash avoidance of industrial lift trucks

Gokce Gocer, Muhammed Oguz Tas, Hasan Serhan Yavuz


Industrial lift trucks, also shortly known as the forklifts, have limited viewing angles and accelerate rapidly. This situation may cause accidents in the work area and therefore the loss of property and time. In this study, the crash risk of the autonomous forklifts that cause accidents during backward movements in factories or warehouses is calculated by designing a fuzzy inference mechanism. This mechanism takes into account the backward speed of the vehicle and the distance between the object and the vehicle. A Simulink model has also been created for the designed system to take appropriate actions in collision avoidance. The proposed system was tested in a simulation environment assumed to be the factory environment having obstacles. As a result, we observed that the vehicle reached its destination by taking appropriate actions with successfully avoiding obstacles.


Collision Avoidance; Crash Risk; Forklift; Fuzzy Inference System

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Kim, K. W. (2021). Characteristics of forklift accidents in korean industrial sites [JB]. Work, 68(3), 679–687. https://doi.org/10.3233/WOR-203402.

Larsson, T. J., and Rechnitzer, G. (1994). Forklift trucks—analysis of severe and fatal occupational injuries, critical incidents and priorities for prevention. Safety Science, 17(4), 275-289.

Borenstein, J., & Koren, Y. (1991). The vector field histogram-fast obstacle avoidance for mobile robots. IEEE transactions on robotics and automation, 7(3), 278-288.

Khatib, O. (1986). Real-time obstacle avoidance for manipulators and mobile robots. In Autonomous robot vehicles (pp. 396-404). Springer, New York, NY.

Lumelsky, V. J., & Stepanov, A. A. (1987). Path-planning strategies for a point mobile automaton moving amidst unknown obstacles of arbitrary shape. Algorithmica, 2(1), 403-430.

Oleiwi, B. K., Roth, H., & Kazem, B. I. (2014). Modified Genetic Algorithm based on A* algorithm of Multi objective optimization for Path Planning. Jounal of Automation and Control Engineering, 2(4), 357-362.

Almasri, M. M., Alajlan, A. M., & Elleithy, K. M. (2016). Trajectory planning and collision avoidance algorithm for mobile robotics system. IEEE Sensors journal, 16(12), 5021-5028.

Kumar, N. V., & Kumar, C. S. (2018). Development of collision free path planning algorithm for warehouse mobile robot. Procedia computer science, 133, 456-463.

Elsayed, H., Abdullah, B. A., & Aly, G. (2018, December). Fuzzy logic based collision avoidance system for autonomous navigation vehicle. In 2018 13th International Conference on Computer Engineering and Systems (ICCES) (pp. 469-474). IEEE.

Faisal, M., Hedjar, R., Al Sulaiman, M., & Al-Mutib, K. (2013). Fuzzy logic navigation and obstacle avoidance by a mobile robot in an unknown dynamic environment. International Journal of Advanced Robotic Systems, 10(1), 37.

Oleiwi, B. K., Mahfuz, A., & Roth, H. (2021, January). Application of Fuzzy Logic for Collision Avoidance of Mobile Robots in Dynamic-Indoor Environments. In 2021 2nd International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST) (pp. 131-136). IEEE.

Kumar, N., Takács, M., & Vámossy, Z. (2017, January). Robot navigation in unknown environment using fuzzy logic. In 2017 IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI) (pp. 000279-000284). IEEE.

Chen, C. H., Lin, C. J., Jeng, S. Y., Lin, H. Y., & Yu, C. Y. (2021). Using ultrasonic sensors and a knowledge-based neural fuzzy controller for mobile robot navigation control. Electronics, 10(4), 466.

Rusu, C. G., Birou, I. T., & Szöke, E. (2010, May). Fuzzy based obstacle avoidance system for autonomous mobile robot. In 2010 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR) (Vol. 1, pp. 1-6). IEEE.

Chen, C. H., Lin, C. J., Jeng, S. Y., Lin, H. Y., & Yu, C. Y. (2021). Using ultrasonic sensors and a knowledge-based neural fuzzy controller for mobile robot navigation control. Electronics, 10(4), 466.

Khairudin, M., Refalda, R., Yatmono, S., Pramono, H. S., Triatmaja, A. K., & Shah, A. (2020). The mobile robot control in obstacle avoidance using fuzzy logic controller. Indonesian Journal of Science & Technology, 5(3), 334-351.

Wang, Z., Ramyar, S., Salaken, S. M., Homaifar, A., Nahavandi, S., and Karimoddini, A. (2017). A collision avoidance system with fuzzy danger level detection. In 2017 IEEE Intelligent Vehicles Symposium (IV) (pp. 283-288). IEEE.

Yet, W. C., and Qidwai, U. (2005, November). Intelligent surround sensing using fuzzy inference system. In SENSORS, 2005 IEEE (pp. 4-pp). IEEE.

Woon, L. C. (2014). Obstacle avoidance robot applying fuzzy control system. (Doctoral dissertation, Universiti Tun Hussein Onn Malaysia). Batu Pahat.

Xu, W. L., and Tso, S. K. (1996). Real-time self-reaction of a mobile robot in unstructured environments using fuzzy reasoning. Engineering applications of artificial intelligence, 9(5), 475-485.

Ross, T. (2016). Fuzzy Logic with Engineering Applications. Newark: Wiley.

Work Safe (2021) Workers fatally injured by forklifts Webpage: https://www.worksafe.vic.gov.au/safety-alerts/workers-fatally-injured-forklifts, Retrieved February 25, 2022

Claitec Team (2020) What should the speed limit of a forklift be? Claitec Inc. Spain. Webpage: https://claitec.com/en/speed-limit-forklift/

MathWorks Student Competitions Team (2021). Mobile Robotics Training Toolbox (https://www.mathworks.com/matlabcentral/fileexchange/62961-mobile-robotics-training-toolbox), MATLAB Central File Exchange. Retrieved October 29, 2021.

Fuzzy Inference for Crash Avoidance of Industrial Lift Trucks, Online: https://www.youtube.com/watch?v=Rw0UmY6DS-g, Access Date: 25.02.2022

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Selcuk University Journal of Engineering Sciences (SUJES) ISSN:2757-8828

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