IR Based Auto-Recharging System for Autonomous Mobile Robot

M.V.Sreenivas Rao, M. Shivakumar

Abstract


As autonomous mobile robots are progressively utilized for appropriated missions, a significant issue that should be tackled is the autonomous recharging problem. The robots can be recharged by planning and arranging effectively to maximize its working efficiency. This paper presents the implementation of automatic docking robot with docking strategy and recharging capabilities. The robot is programmed using an algorithm which will guide the robot to move around in a square path of 30 inch by 30 inch continuously. While the robot is performing its assigned task, the battery remaining voltage is monitored by voltage detection module. When the battery voltage reaches threshold value of less than 12V, the microcontroller commands the robot to go back to the docking station for recharging autonomously. This system uses IR receiver sensor in front of the robot and IR transmitter sensor near docking station. The active IR transmitter sensor which transmit infrared signal located near docking area serves as landmark in guiding robot towards docking area. The robot scans the transmitted IR signal from the sensor transmitter only when it needs to charge its battery, if detected it will take the path of charging station. Once the robot approaches the charging station with the required orientation, it connects to the supply terminals for charging. The data related to battery charging voltage is transmitted by microcontroller through Bluetooth HC-05 to PLX DAQ software tool in PC stores it in the Excel sheet as the data arrive. Once the battery is fully charged the robot moves back to continue its original task.

Keywords


Autonomous mobile robot, IR sensor, Docking station and PLX DAQ software.

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References


Raj, K. Varun, et al. "A beacon-based docking system for an autonomous mobile robot." Proceedings of the 13th National Conference on Mechanisms and Machines (NaCoMM07). 2007

Song, Guangming, et al. "Automatic docking system for recharging home surveillance robots." IEEE Transactions on Consumer Electronics 57.2 (2011): 428-435.

BalajeeKannan, Victor Marmol, Jaime Bourne and M. Bernardine Dias, The Autonomous Recharging Problem: Formulation and Market-based Solution, IEEE International Conference on Robotics and Automation (ICRA)Karlsruhe, Germany, May 6-10, 2013

Kuo-Lan Su1, Yi-Lin Liao2, Shih-Ping Lin3 and Sian-Fu Lin3, “An Interactive Auto-recharging System for Mobile Robots”(Received 2 March 2013; Accepted 3 May 2013; Published on line 1 March 2014)

Carlos Antonio Acosta Calderon, Buck Sin NG,Elara Rajesh Mohan and HengKhai NG, Docking System and Power Management for Autonomous Mobile Robots, Applied Mechanics and Materials Vol. 590 June,2014

Narendran.1,Mr.P.Saravanan.2,Dr.V.Nandagopa, Design and Implementation of Smart Docking and Recharging System for Defense Robot, IOSR Journal of Electrical and Electronics Engineering (IOSR-JEEE) e- ISSN: 2278-1676,p-ISSN: 2320-3331, Volume 10, Issue 1 Ver. II (Jan – Feb. 2015).

Roberto Quilez, Adriaan Zeeman, Nathalie Mitton, & Julian Vandal, Docking autonomous robots in passive docks with Infrared sensors and QR codes, International Conference on Test beds and Research Infrastructures for the Development of Networks & Communities (TridentCOM), Jun 2015, Vancouver, Canada. 2015

Fan Guangrui, Wang Geng, Vision-Based Autonomous Docking and Re-charging System for Mobile Robot in Warehouse Environment, 2nd International Conference on Robotics and Automation Engineering, 2017

YananRen, Wei Zou, Hao Fan, Aixue Ye and Kui Yuan, “ A docking control method in narrow space for intelligent wheelchair”, Proceedings of 2012 IEEE International Conference on Mechatronics and Automation, August 5 - 8, Chengdu, China

Acosta Calderon, Antonio Carlos, Buck Sin Ng, Elara Rajesh Mohan, and HengKhai Ng. "Docking system and power management for autonomous mobile robots." In Applied Mechanics and Materials, vol. 590, pp. 407-412. Trans Tech Publications Ltd, 2014.

Mehdi Delrobaei, Qeshm Tehran, Kenneth A. McIsaac “An Infrared Docking System for Modular Wheeled Mobile Robots,”In Applied Mechanics and Materials, vol. 590, pp. 407-412. Trans Tech Publications Ltd, 2014.

Roh, Se-gon, Jae Hoon Park, Young Hoon Lee, Young Kouk Song, KwangWoong Yang, Moosung Choi, Hong-Seok Kim, Hogil Lee, and HyoukRyeol Choi. "Flexible docking mechanism with error-compensation capability for auto recharging system of mobile robot." International Journal of Control, Automation, and Systems 6, no. 5 (2008): 731-739.

Luo, Ren C., Chien H. Huang, and Chun Y. Huang. "Search and track power charge docking station based on sound source for autonomous mobile robot applications." In 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 1347-1352. IEEE, 2010.

Jamaluddin, Anif, Fengky Adie Perdana, AgusSupriyanto, AgusPurwanto, and M. Nizam. "Development of Wireless Battery Monitoring for electric vehicle." In 2014 International Conference on Electrical Engineering and Computer Science (ICEECS), pp. 147-151. IEEE, 2014.

Saputra, Oka Danil, SeogChae, Young Hyung Kim, and Soo Young Shin. "Remote Monitoring of Lead-ACID BATTERY BASED ON WLAN." Proceedings of the 3rd International Conference on Industrial Application Engineering 2015.

Rauniyar, Ashish, Mohammad Irfan, Oka DanilSaputra, Jin Woo Kim, Ah Ra Lee, Jae Min Jang, and Soo Young Shin. "Design and Development of a Real-Time Monitoring System for Multiple Lead–Acid Batteries Based on Internet of Things." Future Internet 9, no. 3,2017.

Doumbia, Mamadou, Xu Cheng, and Vincent Havyarimana. "An auto-recharging system design and implementation based on infrared signal for autonomous robots." In 2019 5th International Conference on Control, Automation and Robotics (ICCAR), pp. 894-900. IEEE, 2019.

Priyadarshani R. Meshram, S. P. Tondare “ Automatic Docking System for Home Surveillance Robots,” International Journal of Scientific & Engineering Research, Volume 7, Issue 5, May-2016

Wu, Yi-Cheng, Ming-Chang Teng, and Yi-Jeng Tsai. "Robot docking station for automatic battery exchanging and charging." In 2008 IEEE International Conference on Robotics and Biomimetics, pp. 1043-1046. IEEE, 2009.

Chuang, Ching-Chun, Chih-Wei Chuang, Chih-Chiang Hua, and Sen-Tung Wu. "Development of Battery Charger for Industrial Mobile Robots." In 2019 IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE), pp. 449-452. IEEE, 2019.

Deshmukh, Amol, Patricia A. Vargas, Ruth Aylett, and Keith Brown. "Towards socially constrained power management for long-term operation of mobile robots." TAROS 2010 .

Won, Peter, Mohammad Biglarbegian, and William Melek. "Development of an effective docking system for modular mobile self-reconfigurable robots using extended kalman filter and particle filter." Robotics 4, pp. 25-49. 2015.

Guo, Jr-Hung, Jie-Tong Zou, and Kuo-Lan Su. "Development of the residual power prediction system for mobile robots." Artificial Life and Robotics 17, no. 1, 24-29, 2012.

Luo, Min, Yong Xiao, Wei-Ming Sun, and Zhiping Wang. "Online battery monitoring system based on gprs for electric vehicles." In 2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics, vol. 1, pp. 122-125. IEEE, 2013.

Petrov, Plamen, Clément Boussard, SamerAmmoun, and FawziNashashibi. "A hybrid control for automatic docking of electric vehicles for recharging." In 2012 IEEE International Conference on Robotics and Automation, pp. 2966-2971. IEEE, 2012.

Pérez, Joshué, FawziNashashibi, Benjamin Lefaudeux, Paulo Resende, and Evangeline Pollard. "Autonomous docking based on infrared system for electric vehicle charging in urban areas." Sensors 13, no. 2, 2645-2663, 2015.

Roufas, Kimon, Ying Zhang, Dave Duff, and Mark Yim. "Six degree of freedom sensing for docking using IR LED emitters and receivers." In Experimental Robotics VII, pp. 91-100. Springer, Berlin, Heidelberg, 2001.

Guangrui, Fan, and Wang Geng. "Vision-based autonomous docking and re-charging system for mobile robot in warehouse environment." In 2017 2nd International Conference on Robotics and Automation Engineering (ICRAE), pp. 79-83. IEEE, 2017.

Juzhong Zhang, Liming Cai, YuyiChu,Qixun, Zhon “ A Sectional




DOI: https://doi.org/10.18196/jrc.2486

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