基于人工力场的未知环境下自主机器人编队路径规划

A. Dang, J. Horn
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引用次数: 9

摘要

提出了一种新的自主机器人群在未知环境下的路径规划方法。该方法是在传统势场与旋转矢量场相结合的基础上设计的。在这种混合矢量场的作用下,自主机器人可以很容易地避开障碍物以到达目标位置。此外,在这种方法中,相邻的机器人将在一个群体中通过它们之间的吸引和排斥向量场相互连接,以形成一个稳定的编队。每个成员机器人从环境中检测到的障碍物信息将被发送给群中的所有其他成员机器人。因此,这些自主机器人在向目标位置移动的同时,保持了它们的队形,并且它们之间不会发生碰撞。仿真和实验结果验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Path planning for a formation of autonomous robots in an unknown environment using artificial force fields
A novel approach to path planning for the formation of a swarm of autonomous robots in an unknown environment is presented in this paper. This approach is designed based on the traditional potential fields combined with the rotational vector field. Under the action of this blended vector field, autonomous robots can easily avoid obstacles in order to reach the target position. Furthermore, in this approach, the neighboring robots in a swarm will be linked to each other by the attractive and the repulsive vector field between them in order to generate a stable formation. Information about obstacles, which each member robot detects from the environment, will be sent to all other member robots in the swarm. Hence, while these autonomous robots move towards the target position, the formation of them is maintained and there are no collisions between them. Simulation results and experiments have verified the success of this approach.
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