Path Planning Robot Using Proximity Sensor

  • Authors

    • Nurul ‘Ain Amirrudin
    • Lim Zhen Mao
    https://doi.org/10.14419/ijet.v8i1.12.28836
  • V-rep, Differential Drive Robot, Static and Dynamic environments, Path Planning, Proximity Sensor.
  • Automated robots are now commonly used in all places, from automatic production in manufacturing sites to storage arranging robots. Automated robots play an important role in our daily life. These robots may be moving in static or dynamic environment. Hence path planning has to be introduced to help robot find path while avoiding obstacles. In this research, a proximity sensor robot is modelled and simulated.  The model of the robot is built and simulated in Virtual Robot Experimentation Platform (V-REP) software. A dynamic and static environment is constructed for the robot to be tested where it has to reach the end position from the start position. In static environment, all obstacles are static while dynamic environment the obstacles are movable.  The performance of the proximity sensor robot is analysed in terms of the angular velocity of the robot, and the time comparison with previous research in static environment and dynamic environment. The results show that the average time taken by the proximity sensor robot is shorter than the previous research.

     

     

     
  • References

    1. [1] T.Lv, C.Zhao, and J.Bao, “A Global Path Planning Algorithm Based on Bidirectional SVGAâ€, Journal of Robotics, Vol. 2017, (2016).

      [2] Leena, N., and K. K. Saju. “A Survey on Path Planning Techniques for Autonomous Mobile Robotsâ€, IOSR Journal of Mechanical and Civil Engineering (IOSR-JMCE), Vol. 2014, (2014), pp. 76–79.

      [3] M. Samadi and M. F. Othman, “Global Path Planning for Autonomous Mobile Robot Using Genetic Algorithmâ€, Signal-Image Technology & Internet-Based Systems (SITIS), 2013 International Conference on. IEEE, 2013, pp. 726–730.

      [4] Morin, Pascal, and Claude Samson, “Motion Control of Wheeled Mobile Robotsâ€, Springer Handbook of Robotics, Springer (2008), pp:799-826.

      [5] De Luca, Alessandro, Giuseppe Oriolo, and Marilena Vendittelli, “Control of Wheeled Mobile Robots: An Experimental Overviewâ€, Ramsete, Springer (2001), pp:181–226, 2001.

      [6] Ortigoza, Ramon Silva, et al, “Wheeled Mobile Robots: A Reviewâ€, IEEE Latin America Transactions, Vol. 10, No. 6, (2012), pp: 2209–2217.

      [7] Delgado-Mata, Carlos, Ramiro Velázquez, and Carlos A. Gutiérrez, “A Differential-Drive Mobile Robot Driven by an Ethology Inspired Behaviour Architectureâ€, Procedia Technology, Vol. 3, (2012), pp:157–166.

      [8] Malu, Sandeep Kumar, and Jharna Majumdar, “Kinematics, Localization and Control of Differential Drive Mobile Robotâ€, Global Journal of Research in Engineering, Vol. 14, No. 1, (2014), pp:1–8.

      [9] Myint, Cherry, and Nu Nu Win, “Position and Velocity Control for Two-Wheel Differential Drive Mobile Robotâ€, International Journal of Science, Engineering and Technology Research (IJSETR), Vol. 5, No. 9, (2016), pp:2849–2855.

      [10] Robins Mathew and S. S. Hiremath, “Trajectory Tracking and Control of Differential Drive Robot for Predefined Regular Geometrical Path,†Procedia Technology, Vol. 25, (2016), pp:1273–1280.

      [11] Mohammed Z. Al-Faiz and Ghufran E. Mahameda, “GPS-based Navigated Autonomous Robotâ€, International Journal of Emerging Trends in Engineering Research, Vol. 3, No. 4 (2015), pp:8–13.

      [12] Coppelia Robotics, “Proximity Sensor Types and Mode of Operationâ€, Virtual Robot Experimentation Platform User Manual, (2017), available online: http://www.coppeliarobotics.com/helpFiles/en/proximitySensorDescription.htm.

      [13] Leena N. and K. K. Saju, “Modelling and Trajectory Tracking of Wheeled Mobile Robotsâ€, Procedia Technology, Vol. 24, (2016), pp:538–545.

      [14] Samuel Abhishek and V.Kavati, “Trajectory Planning of a Mobile Robotâ€, National Conference on Technological Advancements in Mechanical Engineering, (2016).

  • Downloads

  • How to Cite

    ‘Ain Amirrudin, N., & Zhen Mao, L. (2019). Path Planning Robot Using Proximity Sensor. International Journal of Engineering & Technology, 8(1.12), 6-10. https://doi.org/10.14419/ijet.v8i1.12.28836