1. Abdullah, A. R. (1991). The four point Explicit Decoupled Group (EDG) method: A fast Poisson solver. International Journal of Computer Mathematics, 38(1-2), 61-70. 2. Akhir, M. K. M., Othman, M., Suleiman, M., and Sulaiman, J. 2012. A new Octo-sweep iterative method for solving two-dimensional elliptic equations. International Journal of Applied Mathematics and Statistics, 30(6): 60-71. 3. Akishita, S., Kawamura, S., and Hayashi, K. (1990). Laplace potential for moving obstacle avoidance and approach of a mobile robot. In Japan-USA Symposium on Flexible Automation, A Pacific Rim Conference, July 9-13, 1990, Kyoto, Japan, pp. 139-142. 4. Connolly, C. I., & Grupen, R. A. (1993). The applications of harmonic functions to robotics. Journal of Field Robotics, 10(7), 931-946. 5. Connolly, C. I., Burns, J. B., & Weiss, R. (1990, May). Path planning using Laplace’s equation. In Robotics and Automation, 1990. Proceedings., 1990 IEEE International Conference on (pp. 2102-2106). IEEE. 6. Connolly, C. I., Burns, J., and Weiss, R. (1990). Path planning using Laplace’s equation. In Proceedings of the IEEE International Conference on Robotics and Automation, May 13-18, 1990, Cincinnati, USA, pp. 2102-2106. 7. Dahlquist, G. and Bjorck, A. (1974). Numerical Methods. New Jersey: Prentice Hall. 8. Daily, R., & Bevly, D. M. (2008, June). Harmonic potential field path planning for high speed vehicles. In American Control Conference, 2008 (pp. 4609-4614). IEEE. 9. Evans, D. J. (1985). Group explicit iterative methods for solving large linear systems. International Journal of Computer Mathematics, 17(1), 81-108. 10. Faires, J. and Burden, R. 2012. Numerical Methods, 4th Edition. Boston: Cengage Learning. 11. Garrido, S., Moreno, L., Blanco, D., & Monar, F. M. (2010). Robotic motion using harmonic functions and finite elements. Journal of Intelligent and Robotic Systems, 59(1), 57-73. 12. Karnik, M., Dasgupta, B., & Eswaran, V. (2002). A comparative study of Dirichlet and Neumann conditions for path planning through harmonic functions. Computational Science—ICCS 2002, 442-451. 13. Karnik, M., Dasgupta, B., & Eswaran, V. (2002). A comparative study of Dirichlet and Neumann conditions for path planning through harmonic functions. In P. M. A. Sloot, A. G. Hoekstra, C. 14. J. K. Tan, and J. J. Dongarra. (eds.). Lecture Notes in Computer Science 2330: Computational Science - ICCS 2002, pp. 442-451. Berlin Heidelberg: Springer-Verlag. 15. Khatib, O. (1986). Real-time obstacle avoidance for manipulators and mobile robots. The International Journal of Robotics Research, 5(1), 90-98. 16. Khatib, O. 1985. Real-time obstacle avoidance for manipulators and mobile robots. In Proceedings of the IEEE International Conference on Robotics and Automation, Mar 25-28, 1985, St. Louis, USA, vol. 2, pp. 500-505. 17. Kress, R. 1998. Numerical Analysis. New York: Springer-Verlag. 18. LaValle, S. M. 2011. Motion planning. IEEE Robotics and Automation Magazine, 18(1): 79-89. 19. LeVeque, R. J. (2007). Finite difference methods for ordinary and partial differential equations: steady-state and time-dependent problems. Society for Industrial and Applied Mathematics. 20. Othman, M., & Abdullah, A. R. (2000). An efficient four points modified explicit group poisson solver. International Journal of Computer Mathematics, 76(2), 203-217. 21. Saad, Y., & Van Der Vorst, H. A. (2000). Iterative solution of linear systems in the 20th century. Journal of Computational and Applied Mathematics, 123(1), 1-33. 22. Sasaki, S. (1998, September). A practical computational technique for mobile robot navigation. In Control Applications, 1998. Proceedings of the 1998 IEEE International Conference on (Vol. 2, pp. 1323-1327). IEEE. 23. Sasaki, S. (1998). A practical computational technique for mobile robot navigation. In Proceedings of the IEEE International Conference on Control Applications, Sep 4, 1998, Trieste, Italy, vol. 2, pp. 1323-1327. 24. Saudi, A., & Sulaiman, J. (2016). Path Planning Simulation using Harmonic Potential Fields through Four Point-EDGSOR Method via 9-Point Laplacian. Jurnal Teknologi, 78(8-2), 12-24. 25. Sulaiman, J., Othman, M., & Hasan, M. K. (2007, August). Red-black EDGSOR iterative method using triangle element approximation for 2D Poisson equations. In International Conference on Computational Science and Its Applications (pp. 298-308). Springer, Berlin, Heidelberg. 26. Sulaiman, J., Othman, M., and Hasan, M. K. (2007). Red-Black EDGSOR iterative method using triangle element approximation for 2D Poisson equations. In O. Gervasi and M. L. Gavrilova. (eds.). Lecture Notes in Computer Science 4707: Computational Science and Its Applications - ICCSA 2007, pp. 298-308. Berlin Heidelberg: Springer-Verlag. 27. Tran, N., Nguyen, D.-T., Vu, D.-L., and Truong, N.-V. (2013). University of Information Technology, Vietnam National University-Ho Chi Minh City, Vietnam. In Proceedings of the IEEE International Conference on Control, Automation and Information Sciences, Nov 25-28, 2013, Ho Chi Minh, Vietnam, pp. 317-321. 28. Young, D. (1954). Iterative methods for solving partial difference equations of elliptic type. Transactions of the American Mathematical Society, 76(1), 92-111. 29. Young, D. M. (1950). Iterative Methods for Solving Partial Difference Equations of Elliptic Type. PhD Thesis. Harvard University. 30. Yousif, W. S., & Evans, D. J. (1986). Explicit group over-relaxation methods for solving elliptic partial differential equations. Mathematics and Computers in Simulation, 28 (6), 453-466.