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Link to original content: https://doi.org/10.1007/s13198-021-01213-9
Path planning and real time positioning algorithm of intelligent robot based on cloud computing | International Journal of System Assurance Engineering and Management Skip to main content
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Path planning and real time positioning algorithm of intelligent robot based on cloud computing

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Abstract

As a special method to solve nonlinear problems, intelligent computing is attracting people's attention. It is a discipline that uses computational means or methods to acquire and express knowledge and simulate intelligent behavior. Path planning is an important direction of mobile robot research. As one of the basic links of autonomous mobile robot navigation, it seeks the optimal or nearly optimal collision-free path from the initial state to the target state. This article mainly uses intelligent calculation methods to study the path planning algorithm for mobile machines. In order to improve the ability of robots to perform tasks in complex environments, this paper introduces the back-end infrastructure. Grid method, artificial potential field method and ant colony algorithm are all research methods in this paper. Established a cloud computing-based robot intelligent path planning and real-time positioning algorithm research model, researched the cloud computing platform-based robot path planning and real-time positioning algorithm. On the basis of comparing the advantages and disadvantages of these algorithms, the related deficiencies and reasons are analyzed, and the algorithm is improved by using rough set theory. Completed the robot path planning and real-time positioning algorithm based on cloud computing, and realized obstacle avoidance and movement in the unknown static obstacle environment. Complete the overall and partial path planning tasks of the robot system. The introduction of cloud computing systems has improved the efficiency of overall planning, the results show that the overall path planning efficiency of the intelligent mobile robot is increased by 20%, and the performance of real-time positioning is also increased by 11%. This method has certain practical value.

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  1. School of Electronic and Information Engineering, Henan Polytechnic Institute, Nanyang, 473000, Henan, China

    Ran Zhao & Lingnan Zhou

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  1. Ran Zhao
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  2. Lingnan Zhou
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Correspondence to Ran Zhao.

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Zhao, R., Zhou, L. Path planning and real time positioning algorithm of intelligent robot based on cloud computing. Int J Syst Assur Eng Manag 14, 493–508 (2023). https://doi.org/10.1007/s13198-021-01213-9

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