Mobile Robot for Fires Detection Development
PDF
DOI

Keywords

Mobile robot, Microcontroller, ESP8266, Remote system, Emergency control.

How to Cite

Mobile Robot for Fires Detection Development. (2023). Journal of Universal Science Research, 1(11), 17-27. https://universalpublishings.com/index.php/jusr/article/view/2485

Abstract

In the article, the authors propose the development of a mobile robot. The base is Arduino Mega 2560 R3. The wheelbase chosen is a single-deck robot platform. Breadboard without ration MB-102 with 400 points was selected next. The robot is equipped with the following sensors: ultrasonic sensor HC-SR04, KY-033 Line sensor, flame sensor KY-026, IR thermomodule, Wi-Fi module ESP8266 version ESP-01. The rest of the article suggests programming the fire sensor.

PDF
DOI

References

Nevliudov, I., & et al. (2022). Object Recognition for a Humanoid Robot Based on a Microcontroller. In IEEE XVIII International Conference on the Perspective Technologies and Methods in MEMS Design (MEMSTECH), IEEE, 61-64.

Bortnikova, V., & et al. (2019). Structural parameters influence on a soft robotic manipulator finger bend angle simulation. In 2019 IEEE 15th International Conference on the Experience of Designing and Application of CAD Systems (CADSM), IEEE, 35-38.

Basiuk, V., & et al. (2023). Mobile Robot Position Determining Using Odometry Method. Multidisciplinary Journal of Science and Technology, 3(3), 227-234.

Nevliudov, I., & et al. (2023). Development of a Mobile Robot Prototype with an Interactive Control System. Системи управління, навігації та зв’язку. Збірник наукових праць, 3(73), 128-133.

Nevliudov, I., & et al. (2023). Mobile Robot Navigation System Based on Ultrasonic Sensors. In 2023 IEEE XXVIII International Seminar/Workshop on Direct and Inverse Problems of Electromagnetic and Acoustic Wave Theory (DIPED), IEEE, 1, 247-251.

Matarneh, R., Maksymova, S., Deineko, Z., & Lyashenko, V. (2017). Building robot voice control training methodology using artificial neural net. International Journal of Civil Engineering and Technology, 8(10), 523-532.

Attar, H., & et al.. (2022). Control System Development and Implementation of a CNC Laser Engraver for Environmental Use with Remote Imaging. Computational intelligence and neuroscience, 2022, 9140156.

Matarneh, R., Maksymova, S., Lyashenko, V. V., & Belova, N. V. (2017). Speech Recognition Systems: A Comparative Review. IOSR Journal of Computer Engineering (IOSR-JCE), 19(5), 71-79.

Maksymova, S., Matarneh, R., Lyashenko, V. V., & Belova, N. V. (2017). Voice Control for an Industrial Robot as a Combination of Various Robotic Assembly Process Models. Journal of Computer and Communications, 5, 1-15.

Nevliudov, I., & et al.. (2020). Development of a cyber design modeling declarative Language for cyber physical production systems. J. Math. Comput. Sci., 11(1), 520-542.

Baker, J. H., & et al.. (2021). Some interesting features of semantic model in Robotic Science. SSRG International Journal of Engineering Trends and Technology, 69(7), 38-44.

Abu-Jassar, A. T., Al-Sharo, Y. M., Lyashenko, V., & Sotnik, S. (2021). Some Features of Classifiers Implementation for Object Recognition in Specialized Computer systems. TEM Journal: Technology, Education, Management, Informatics, 10(4), 1645-1654.

Al-Sharo, Y. M., Abu-Jassar, A. T., Sotnik, S., & Lyashenko, V. (2021). Neural Networks As A Tool For Pattern Recognition of Fasteners. International Journal of Engineering Trends and Technology, 69(10), 151-160.

Sotnik, S., Mustafa, S. K., Ahmad, M. A., Lyashenko, V., & Zeleniy, O. (2020). Some features of route planning as the basis in a mobile robot. International Journal of Emerging Trends in Engineering Research, 8(5), 2074-2079.

Sotnik, S., & Lyashenko, V. (2022). Prospects for Introduction of Robotics in Service. Prospects, 6(5), 4-9.

Ahmad, M. A., Sinelnikova, T., Lyashenko, V., & Mustafa, S. K. (2020). Features of the construction and control of the navigation system of a mobile robot. International Journal of Emerging Trends in Engineering Research, 8(4), 1445-1449.

Lyashenko, V., & Sotnik, S. (2020). Analysis of Basic Principles for Sensor System Design Process Mobile Robots. Journal La Multiapp, 1(4), 1-6.

Matarneh, R., Maksymova, S., Zeleniy, O., & Lyashenko, V. (2018). Voice Control for Flexible Medicine Robot. International Journal of ComputerTrends and Technology (IJCTT), 56(1), 1-5.

Mustafa, S. K., Kopot, M., Ahmad, M. A., Lyubchenko, V., & Lyashenko, V. (2020). Interesting applications of mobile robotic motion by using control algorithms. International Journal of Advanced Trends in Computer Science and Engineering, 9(3), 3847-3852.

Sotnik, S., & et al.. (2022). Agricultural Robotic Platforms. International Journal of Academic Engineering Research, 6(4), 14-21.

Spong, M. W., & et al. (2020). Robot modeling and control. John Wiley & Sons.

Varlamov, O. (2021). “Brains” for Robots: Application of the Mivar Expert Systems for Implementation of Autonomous Intelligent Robots. Big Data Research, 25, 100241.

Walker, J., & et al. (2020). Soft robotics: A review of recent developments of pneumatic soft actuators. In Actuators, MDPI, 9(1), 3.

Johannink, T., & et al. (2019). Residual reinforcement learning for robot control. In 2019 International Conference on Robotics and Automation (ICRA), IEEE, 6023-6029.

Matheson, E., & et al. (2019). Human–robot collaboration in manufacturing applications: A review. Robotics, 8(4), 100.

Attar, H., & et al. (2022). Zoomorphic mobile robot development for vertical movement based on the geometrical family caterpillar. Computational Intelligence and Neuroscience, 2022.

Wang, Y., & et al. (2019). Reliable Intelligent Path Following Control for a Robotic Airship Against Sensor Faults. In IEEE/ASME Transactions on Mechatronics, 24(6), 2572-2582.

Shi, D., & et al. (2019). A Review on Lower Limb Rehabilitation Exoskeleton Robots. Chin. J. Mech. Eng. 32, 74.

Pan, Y., & et al. (2020). Singularity-free fixed-time fuzzy control for robotic systems with user-defined performance. IEEE Transactions on Fuzzy Systems, 29(8), 2388-2398.

Yang, C., & et al. (2020). Neural control of robot manipulators with trajectory tracking constraints and input saturation. IEEE Transactions on Neural Networks and Learning Systems, 32(9), 4231-4242.

Abu-Jassar, A. T., Attar, H., Lyashenko, V., Amer, A., Sotnik, S., & Solyman, A. (2023). Access control to robotic systems based on biometric: the generalized model and its practical implementation. International Journal of Intelligent Engineering and Systems, 16(5), 313-328.

Al-Sharo, Y. M., Abu-Jassar, A. T., Sotnik, S., & Lyashenko, V. (2023). Generalized Procedure for Determining the Collision-Free Trajectory for a Robotic Arm. Tikrit Journal of Engineering Sciences, 30(2), 142-151.

Lyashenko, V., Tahseen, A. J. A., Yevsieiev, V., & Maksymova, S. (2023). Automated Monitoring and Visualization System in Production. Int. Res. J. Multidiscip. Technovation, 5(6), 09-18.

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.