全向移动机器人动态避障方法

Translated title of the contribution: Dynamic obstacle avoidance method for omnidirectional mobile robots

Dazhi Zhang, Wanhui Liu, Cunxiao Miao, Yuanjin Yu*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

Abstract

Dynamic obstacle avoidance is an indispensable ability of omnidirectional mobile robots in complex working environments. The idea of water flow field is used to redefine the repulsive potential field function of artificial potential field and its direction, which solves the problems of traditional artificial potential field method, such as easily falling into local minimum point, inaccessible target point and oscillation. The improved algorithm can make the robot reach the target point smoothly and safely without increasing the amount of calculation, and realize the obstacle avoidance process. At the same time, in order to achieve three-dimensional dynamic simulation, a joint simulation method based on V-REP and MATLAB is proposed. By constructing a three-dimensional dynamic simulation environment, the dynamic obstacle avoidance simulation of omnidirectional mobile robot was realized by the proposed method combined with the improved artificial potential field method, and the smoothness and feasibility of the algorithm are verified. Finally, the algorithm was applied to the real scene in the laboratory, and the omnidirectional mobile robot successfully realized the dynamic avoidance action, which verifies the practicability of the algorithm.

Translated title of the contributionDynamic obstacle avoidance method for omnidirectional mobile robots
Original languageChinese (Traditional)
Pages (from-to)1115-1123
Number of pages9
JournalBeijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics
Volume47
Issue number6
DOIs
Publication statusPublished - Jun 2021

Fingerprint

Dive into the research topics of 'Dynamic obstacle avoidance method for omnidirectional mobile robots'. Together they form a unique fingerprint.

Cite this