Author : M V Sreenivas Rao 1
Date of Publication :7th May 2016
Abstract: Docking and recharging system for a autonomous mobile robot must guarantee the ability to perform its tasks continuously without human intervention. In this work we present a system for autonomous recharge of the batteries of Fire Bird V robot. To find the presence of an obstacle sharp sensors and IR Proximity sensors are used. To follow the path Fire Bird V robot use black line sensors. The robot uses black line follower path on a white surface. To monitor the battery voltage level, battery sensor which is already present in ATmega 2560 is used. It senses the line and monitor the robot to stay on path, while constantly correcting wrong moves. On the way to its destination if it finds any obstacle ,the sharp sensor or the IR proximity sensor will sense the obstacle and make the beep sound. When there is no obstacle the robot continues its journey. During its journey if its battery gets drained below the threshold value , then it has to go to the nearby power station and charge the battery with the help of wireless power transmission module the robot charges itself.
Reference :
-
- T.Amulya,M.Vedachary and P. Srilaxmi “Implementation of Surveillance robot with the feature of semi automatic recharging capability” International Journal Of Engineering And Computer Science ISSN: 2319-7242 Vol 4 No10, Oct 2015
- Gurrapu Seshadri and M.Kishore Babu “Best Battery Charging Using a Solar Energy for Robotic Vehicle Based on Relay-Host Microcontroller”, International Journ al of Emerging Trends in Engineering Research (IJETER), Vol. 3 No.6, 2015.
- Lok Prasad Khanal “OBSTACLE-AVOIDING ROBOT” Bachelor´s Thesis abstract Turku University of applied sciences, 50 December, 2013
- Paul Kinsky, Quan Zhou “Obstacle Avoidance Robot” WORCESTER POLYTECHNIC INSTITUTE , The Degree of Bachelor of Science, Date: Aug2011
- Stephen Whitely „Battery management, power supply and safety systems in an electric drive vehicle‟ 10119492 School of Mechanical Engineering, University of Western Australia 3rd November 2008
- Sejal Jaiswal ‘Obstacle detection and avoidance by a mobile robot’ 110CS0442 Department of Computer Science and Engineering National Institute of Technology Rourkela, Rourkela-769008, Odessa, India , May 2013
- Lok Prasad Khanal “OBSTACLE-AVOIDING ROBOT” Bachelor´s Thesis abstract Turku University of applied sciences, 50 December, 2013
- Andreas Birk, „Autonomous recharging of mobile robot ‟AI-lab, Vrije University Brussel Belgium Draft Version (paper # 97RO029) accepted at ISATA‟97, Florence, 1997
- J.Borenstein “ Real-time obstacle avoidance for fast mobile robots” Adv. Technol. Lab, Michigan Univ, Ann Arbor, MI, USA , IEEE Transactions on Systems,Man,Cybernetics (Volume:19, Issue:5 )Sept .-Oct.1989
- Cosmin Codrea, Thomas Hirth , “Measurement of Battery Capacity in Mobile Robot Systems” Fraunhofer IIS Am Wolfsmantel 33, 91058 Erlangen, Germany , Dept. of Computer Science , University of Erlangen-Nuremberg Martensstr. 3, 91058 Erlangen, Germany.
- J. Borenstein “Obstacle avoidance with ultrasonic sensors” Dept. of Mech. Eng. & Appl. Math, Michigan Univ , Ann Arbor, MI, USA , IEEE Journal on Robotics and Automation (Volume:4 , Issue: 2 ) April 1988
- Andreas Birk, „Autonomous recharging of mobile robot ‟AI-lab, Vrije University Brussel Belgium Draft Version (paper # 97RO029) accepted at ISATA‟97, Florence, 1997
- Lakshya K Ankolekar and M.V. Chidananda Murthy „Autonomous navigation mobile robotic system‟ International Journal of Emerging Technology in Computer Science & Electronics (IJETCSE) ISSN: 0976-1353 Volume 14 Issue 2 –APRIL 2015
- Gurrapu Seshadri and M.Kishore Babu “Best Battery Charging Using a Solar Energy for Robotic Vehicle Based on Relay-Host Microcontroller”, International Journal of Emerging Trends in Engineering Research (IJETER), Vol. 3 No.6, 2015
- Cosmin Codrea, Thomas Hirth , “Measurement of Battery Capacity in Mobile Robot Systems” Fraunhofer IIS Am Wolfsmantel 33, 91058 Erlangen, Germany , Dept. of Computer Science , University of Erlangen-Nuremberg Martensstr. 3, 91058 Erlangen, Germany