群机器人
群体行为
稳健性(进化)
植绒(纹理)
人工智能
计算机科学
机器人学
障碍物
避障
机器人
虚拟机
模拟
计算机视觉
移动机器人
操作系统
法学
基因
材料科学
化学
复合材料
生物化学
政治学
出处
期刊:
日期:2022-10-23
卷期号:: 4498-4504
被引量:19
标识
DOI:10.1109/iros47612.2022.9981842
摘要
This paper proposes a model of a class of regular virtual tubes that can generate safe, feasible, and smooth space for a robotics swarm in an obstacle-dense environment, especially for a drone swarm based on the flocking model. The regular principles are first proposed, and the regular conditions are then formulated based on the principles. A method to obtain a regular virtual tube is also presented based on trajectory planning and regular conditions. The proposed method's effectiveness and robustness are comprehensively demonstrated in a simulation environment with random obstacles.
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