Abstract
This paper presents an analysis of a mobile robot path planning using potential field technique. The mobile robot has four wheels which can be driven and steered independently. For simplicity, this paper assumes Ackermann steering such that the vehicle can be modelled as a two-wheel system for path planning purposes. The potential field method which emphasizes on attractive potential and repulsive potential fields for path planning are proposed for analysis. For simulation settings, the mobile robot priorly does not pose any information on the environment and then moves until it reaches its goal using the calculated attractive and repulsive potential fields. The control gains which represents the attractive and repulsive force are studied to determine the effectiveness of the proposed method. Based on the simulation results, the robot is able to avoid obstacle and at the same time successfully arrived at the goal. Different cases of the potential fields and landmarks positions are also presented to determine the effectiveness of the technique.
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References
Japan Robot Association. Summary report on technology strategy for creating a robot society in the 21st century. Japan. May 2001
Borenstein, J., Koren, Y.: Real-time obstacle avoidance for fast mobile robots. IEEE Trans. Syst. Man, Cybern. 19(5), 1179–1187 (1989)
Borenstein, J., Koren, Y.: The vector field histogram-fast obstacle avoidance for mobile robots. IEEE Trans. Robot. Autom. 7(3), 278–288 (1991)
Latombe, J.: Robot Motion Planning. Kluwer, Norwell, MK (1991)
Zahra, E., Mehmet O.E.: Multi-objective grasshopper optimization algorithm for robot path planning in static environments. In: 2018 IEEE International Conference on Industrial Technology, pp. 244–249 (2018)
Safdar, Z., Mehreen, S., Ayesha, B., Foqia, H., Kaleem, A.: Planning-based optimized path for automatic robot navigation. In: 2018 IEEE International Conference on Computing, Mathematics and Engineering Technologies, pp. 1–6 (2018)
Mehmet, K., Akif, D.: Comparison of optimal path planning algorithm. In: 2018 International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering, pp. 255–258 (2018)
Yuhong, L., Fating, H., Winjie, L., Sheng, B., Liqian, F.: Optimization of robot path planning parameters based on genetic algorithm. 2017 IEEE International Conference on Real-time Computing and Robotics, pp. 529–534 (2017)
Asma, A., Sadok, B.: A new multi-robot path planning algorithm: dynamic distributed particle swarm optimization, In: 2017 IEEE International Conference on Real-Time Computing and Robotics, pp. 437–442 (2017)
Farid, B., Denis, G., Herve, P., Dominique, G.: Modified artificial potential field method for online path planning applications. In: 2017 IEEE Intelligent Vehicle Symposium, pp. 180–185 (2017)
H. Asadi, S. Ozgoli.: A novel approach to reduce oscillations in path planning based on potential field approach. In: 2017 Iranian Conference on Electrical Engineering, pp. 603–608 (2017)
Hendri, H.T., Oyas, W., Teguh, B.A., Adha, I.C.: Framework transformation for local information on artificial potential field path planning. In: 2016 8th International Conference on Information Technology and Electrical Engineering, pp. 1–6 (2016)
Yadollah, R., Amir, K., Shih-Ken, C., Bakhtiar, L.: A potential field based model predictive path planning controller for autonomous road vehicles. IEEE Trans. On Intelligent Transportation System 18(5), 1255–1267 (2017)
Youcef, H., Adel, M., Abdelfetah, H., Ourda, H., Brahim, B.: Mobile manipulator path planning based on artificial potential field: application on RobuTER/ULM, 2015 IEEE International Conference on Electrical Engineering, pp. 1–6 (2015)
Hossein, K., Poria, N.P., Mehdi, T.M., Roya, S.N.: Path planning of 3-RRR parallel robot by avoiding mechanical interference via artificial potential field. In: 2015 3rd RSI International Conference on Robotics and Mechatronics, pp. 240–245 (2015)
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The authors would like to thank Ministry of Higher Education and Universiti Malaysia Pahang for supporting this research under RDU160145 and RDU160379.
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Ahmad, H., Mohamad Pajeri, A.N.F., Othman, N.A., Saari, M.M., Ramli, M.S. (2019). Analysis of Mobile Robot Path Planning with Artificial Potential Fields. In: Md Zain, Z., et al. Proceedings of the 10th National Technical Seminar on Underwater System Technology 2018 . Lecture Notes in Electrical Engineering, vol 538. Springer, Singapore. https://doi.org/10.1007/978-981-13-3708-6_16
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DOI: https://doi.org/10.1007/978-981-13-3708-6_16
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