TY - JOUR
T1 - 移动机器人自主动态避障方法
AU - Zhang, He
AU - Miao, Cunxiao
AU - Tang, Youjun
AU - Yan, Xiaoqiang
AU - Shi, Yanyang
AU - Yu, Yuanjin
N1 - Publisher Copyright:
© 2022, Editorial Board of JBUAA. All right reserved.
PY - 2022/6
Y1 - 2022/6
N2 - This paper proposes an autonomous dynamic obstacle avoidance method for omnidirectional mobile robot by introducing velocity repulsion field to solve the existing problems, an improvement from water flow field based artificial potential field obstacle avoidance method. This paper presents a detailed analysis of problems of artificial potential field improved by water flow field, such as a too long avoidance path or avoidance failure caused by the mobile robot moving in front of the obstacles. To solve the above problems, the velocity repulsion field, in line with the relative velocity of the mobile robot and the dynamic obstacle, is introduced in artificial potential field obstacle avoidance method based on water flow field. With the omni-directional mobile robot moving in rear of the obstacles, a safe and autonomous dynamic obstacle avoidance is fully realized. The effectiveness and practicability of the autonomous dynamic obstacle avoidance algorithm are verified through simulation and indoor obstacle avoidance experiment.
AB - This paper proposes an autonomous dynamic obstacle avoidance method for omnidirectional mobile robot by introducing velocity repulsion field to solve the existing problems, an improvement from water flow field based artificial potential field obstacle avoidance method. This paper presents a detailed analysis of problems of artificial potential field improved by water flow field, such as a too long avoidance path or avoidance failure caused by the mobile robot moving in front of the obstacles. To solve the above problems, the velocity repulsion field, in line with the relative velocity of the mobile robot and the dynamic obstacle, is introduced in artificial potential field obstacle avoidance method based on water flow field. With the omni-directional mobile robot moving in rear of the obstacles, a safe and autonomous dynamic obstacle avoidance is fully realized. The effectiveness and practicability of the autonomous dynamic obstacle avoidance algorithm are verified through simulation and indoor obstacle avoidance experiment.
KW - Artificial potential field
KW - Dynamic obstacle avoidance
KW - Mobile robot
KW - Velocity repulsion field
KW - Water flow field
UR - http://www.scopus.com/inward/record.url?scp=85132993856&partnerID=8YFLogxK
U2 - 10.13700/j.bh.1001-5965.2020.0727
DO - 10.13700/j.bh.1001-5965.2020.0727
M3 - 文章
AN - SCOPUS:85132993856
SN - 1001-5965
VL - 48
SP - 1013
EP - 1021
JO - Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics
JF - Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics
IS - 6
ER -