Abstract
The current research work aims to develop an efficient motion planner for a differential vehicular system inspired from the Fuzzy inference system. In this strategy, rolling and sliding kinematic constraints have been considered while implementation. The proposed fuzzy model requires two inputs: (1) the distance between the robot and the obstacles in the environment and (2) position of the target, i.e., the robot heading angle towards the destination. Once the system receives information from its search space, the robot obtains the suitable steering angle for an intelligent system. Experimental analysis has been conducted to a differential robot in order to represent its effectiveness.
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Deepak, B.B.V.L., Parhi, D.R. (2019). New Strategy for Mobile Robot Navigation Using Fuzzy Logic. In: Satapathy, S., Bhateja, V., Somanah, R., Yang, XS., Senkerik, R. (eds) Information Systems Design and Intelligent Applications. Advances in Intelligent Systems and Computing, vol 862. Springer, Singapore. https://doi.org/10.1007/978-981-13-3329-3_1
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DOI: https://doi.org/10.1007/978-981-13-3329-3_1
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