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Development of Fire Fighting Robot

Zaiba Ishrat, Kanhaiya Kumar Singh, Chinmay Sourabh

Abstract


Fire is a fatal incident happens all the time repeatedly again and again all around the world. They are caused either by natural causes or manmade causes. Many people lost their lives in such incidents; they are common people or the crew of the fire fighters as the drones are used in many scenarios across the world. So we decided to build a robotic vehicle which can go at those parts during a fire where man cannot go unlike whether the fire started due to natural causes or manmade causes. Our main aim is to reduce the life loss and property loss happened in the event of fire broken in any area. It will be a robotic vehicle which can go to the place of fire and extinguishes the fire by pumping the water. It will minimize the human casualty at a greater extent as it’s a machine so it can operate in the area where temperature is very high due to fire.

 

Keywords: Fire fighting robot, ultrasonic sensor, flame sensor, remote control

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References


Jeelani, S., Dany, A., Anand, B., Vandana, S., Maheswaran, T., & Rajkumar, E. (2015). Robotics and medicine: A scientific rainbow in hospital. Journal of pharmacy & bioallied sciences, 7(Suppl 2), S381.

Aliff, M., Dohta, S., & Akagi, T. (2015). Simple Trajectory Control Method of Robot Arm Using Flexible Pneumatic Cylinders. Journal of Robotics and Mechatronics, 27(6), 698-705.

Aliff, M., Dohta, S., & Akagi, T. (2017). Control and analysis of simple-structured robot arm using flexible pneumatic cylinders. International Journal of Advanced and Applied Sciences, 4(12), 151-157.

Aliff, M., Dohta, S., & Akagi, T. (2014). Control and analysis of robot arm using flexible pneumatic cylinder. Mechanical Engineering Journal, 1(5), DR0051-DR0051.

Aliff, M., Dohta, S., & Akagi, T. (2015, October). Trajectory controls and its analysis for robot arm using flexible pneumatic cylinders. In 2015 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS) (pp. 48-54). IEEE.

Aliff, M., Dohta, S., & Akagi, T. (2015, July). Trajectory control of robot arm using flexible pneumatic cylinders and embedded controller. In 2015 IEEE International Conference on Advanced Intelligent Mechatronics (AIM) (pp. 1120-1125). IEEE.

Xin, C., Qiao, D., Hongjie, S., Chunhe, L., & Haikuan, Z. (2018, June). Design and implementation of debris search and rescue robot system based on internet of things. In 2018 International Conference on Smart Grid and Electrical Automation (ICSGEA) (pp. 303-307). IEEE.

YUSOF, M., & DODD, T. (2012). Pangolin: A variable geometry tracked vehicle with independent track control. In Field Robotics (pp. 917-924).

Day, C. P. (2018). Robotics in industry—their role in intelligent manufacturing. Engineering, 4(4), 440-445.

Lee, J. W., Park, G. T., Shin, J. S., & Woo, J. W. (2017, October). Industrial robot calibration method using denavit—Hatenberg parameters. In 2017 17th International Conference on Control, Automation and Systems (ICCAS) (pp. 1834-1837). IEEE.

Sani, N. S., Sahran, S., Abd Rahman, A. H., & Muzaffar, E. N. (2018). Redefining selection of features and classification algorithms for room occupancy detection. International Journal on Advanced Science, Engineering and Information Technology, 8(4-2), 1486-1493.

Holliday, J. D., Sani, N., & Willett, P. (2015). Calculation of substructural analysis weights using a genetic algorithm. Journal of chemical information and modeling, 55(2), 214-221.

Holliday, J., Sani, N., & Willett, P. (2018). Ligand-based virtual screening using a genetic algorithm with data fusion. Match: Communications in Mathematical and in Computer Chemistry, 80(3).

SamsiahSani, N., Shlash, I., Hassan, M., Hadi, A., & Aliff, M. (2017). Enhancing Malaysia Rainfall Prediction Using Classification Techniques. J. Appl. Environ. Biol. Sci, 7(2S), 20-29.

Sani, N. S., Rahman, M. A., Bakar, A. A., Sahran, S., & Sarim, H. M. (2018). Machine learning approach for bottom 40 percent households (B40) poverty classification. Int. J. Adv. Sci. Eng. Inf. Technol, 8(4-2), 1698.


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