首页> 外文期刊>International Journal of Robotics & Automation >REAL-TIME PATH PLANNING OF MULTIPLE MOBILE ROBOTS IN A DYNAMIC CERTAIN ENVIRONMENT
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REAL-TIME PATH PLANNING OF MULTIPLE MOBILE ROBOTS IN A DYNAMIC CERTAIN ENVIRONMENT

机译:动态某些环境中多机器人的实时路径规划

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摘要

We propose an algorithm for real-time path planning of multiple mobile robots in a dynamic certain environment. Dynamic certain environment means that shapes and velocities of the obstacles can be measured in real-time by the robot's sensory system. It is difficult to obtain real-time and completeness simultaneously for path planning of multiple robots without suffering from oscillation and deadlock, especially in a dynamic environment. In this paper, the harmonic potential field for multiple mobile robots is built by using the panel method known in fluid mechanics; attainability and security are investigated so that robots could reach goal positions while avoiding obstacles without any collision. A new velocity control strategy for multiple robots and a set of strategies for collision avoidance is proposed. Simulation and real robot experiment results indicate that it can achieve real-time and completeness simultaneously. The strategies for collision avoidance can be applied to avoid the oscillation and deadlock. The velocity control strategy is showed to be highly effective in reducing planning time.
机译:我们提出了一种用于在动态特定环境中对多个移动机器人进行实时路径规划的算法。动态的特定环境意味着可以通过机器人的传感系统实时测量障碍物的形状和速度。很难同时获得多个机器人路径规划的实时性和完整性,而又不会遭受振荡和死锁,尤其是在动态环境中。在本文中,使用流体力学中已知的面板方法建立了多个移动机器人的谐波势场。对可达性和安全性进行了研究,以便机器人可以到达目标位置,同时避免障碍物而不会发生任何碰撞。提出了一种新的多机器人速度控制策略和一套避免碰撞的策略。仿真和实际机器人实验结果表明,该算法可以同时实现实时性和完整性。可以采用避免碰撞的策略来避免振荡和死锁。速度控制策略在减少计划时间方面非常有效。

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