2019 Vol.2 Dec. No.6

• Title: Research on Dynamic Obstacle Avoidance Algorithm of Urban Intelligent Robot Based on Big Data
• Name: Govin Madnick
• Company: Simon Fraser University
• Abstract:

  Aiming at the problem that traditional urban intelligent robots do not have high accuracy in dynamic obstacle avoidance, a network big data technology is introduced to propose a dynamic obstacle avoidance algorithm for urban intelligent robots based on big data. Store the collected data in the database for comprehensive control, perform timing read-write in accordance with the ARM static storage control mechanism, and use the function static inline gap AT91Sysx write mode to re-write the data with time delay. Based on the big data and the vector field distance algorithm, the CV value and the grid vector are further determined to determine the obstacle density. Then the robot is redesigned and readjusted according to a preset threshold to complete dynamic avoidance. Experimental data proves that the dynamic obstacle avoidance algorithm of urban intelligent robots based on big data can improve the accuracy of robot obstacle avoidance.

• Keyword: Big Data; Robot; Dynamic Obstacle Avoidance;
• DOI: 10.12250/jpciams2019060644
• Citation form: Govin Madnick.Research on Dynamic Obstacle Avoidance Algorithm of Urban Intelligent Robot Based on Big Data[J]. Computer Informatization and Mechanical System, 2019, vol. 2, pp. 77-83.

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