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Journal of Technology and Social Science (JTSS, J. Tech. Soc. Sci.)

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ISSN 2432-5686



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Vol.6, No.1






Interactive Fuzzy Programming based on Simple Recourse for Two-Level Integer Programming Problems with Random Variables

Takeshi Matsui, Antonio Oliveira Nzinga Rene, and Koji Okuhara

Journal of Technology and Social Science, Vol.6, No.1, pp.1-7, 2022.

Abstract: This paper considers the optimization of hierarchical systems where two decision makers with different priority exist in stochastic environments. To be more specific, formulating them as two-level integer programming problems where right-hand constants in constraints are random variables, we reformulate them as two-level simple recourse problem. For these reformulated problems, we attempt to apply interactive fuzzy programming in order to derive satisfactory solutions for the decision maker at the upper level in consideration of the balance between the satisfactory level to the decision maker at the upper level and that to the decision maker at the lower level.

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Application of Model-Based Design to Autonomous Driving for Four Mecanum Wheel AGVs

Haohao Zhang, Kazuhiro Motegi, and Yoichi Shiraishi

Journal of Technology and Social Science, Vol.6, No.1, pp.8-17, 2022.

Abstract: We describe an autonomous driving application for all-wheel-driven automatic guided vehicles (AGVs) with four mecanum wheels on the basis of a model-based design (MBD) method. The MBD method allows us to focus on control logic design by implementing graphical modeling and automatically generating program codes in a short time. Using a robot operating system (ROS) and the MBD platform tool Simulink, we can communicate with the ROS network without having to write C/C++ codes and verify them, which saves time. Herein, we first describe the hardware construction of an AGV, followed by a detailed description of the control architecture of the AGV on the basis of ROS and Simulink. We also demonstrate simultaneous localization and mapping and navigation technology in autonomous mode. The exhibition demo result of the AGV under an autonomous mode using the YOLO v3 object detection algorithm at Tokyo International Robot Exhibition 2019 shows the feasibility of the MBD method and the proposed control architecture.

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