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Mobile Robot Path Planning Using a Flower Pollination Algorithm-Based Approach

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Nature-Inspired Computation in Navigation and Routing Problems

Part of the book series: Springer Tracts in Nature-Inspired Computing ((STNIC))

Abstract

Considering the growing role of mobile robots in our everyday life and in various other applications, robust and safe navigation for these mobile robots is of utmost importance. Though the computational power of the computers has increased, there is still a need for the robust algorithms which are that can yield the most optimal, safe and least energy-demanding path. Hence, in this chapter, first, the classification of different approaches used for robot path planning has been briefly discussed, followed by the discussion of several soft computing-based approaches and the challenges associated with them. Then, a flower pollination algorithm-based approach has been discussed for mobile robot path planning. Several criteria like distance covered by the robot, two-layered safety and the number of turns required during the path traversal are used to evaluate the path for its optimality. The result of the algorithm is given using different examples.

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Correspondence to Atul Mishra .

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Mishra, A., Deb, S. (2020). Mobile Robot Path Planning Using a Flower Pollination Algorithm-Based Approach. In: Yang, XS., Zhao, YX. (eds) Nature-Inspired Computation in Navigation and Routing Problems. Springer Tracts in Nature-Inspired Computing. Springer, Singapore. https://doi.org/10.1007/978-981-15-1842-3_6

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