探索CVD技术生长的新型碳纳米结构

M. Terranova, S. Gay, Mariglen Angjellari, E. Tamburri, S. Orlanducci
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引用次数: 0

摘要

本文设计了一种基于曲线模型的机器人快速移动策略。将虚拟目标点引入到机器人的路径规划中,使机器人能够平稳、快速地完成任务。给出了曲线模型的具体求解方法。同时,采用基于转弯半径的机器人控制模型的状态反馈设计,解决了实际误差问题。仿真实验表明,虚拟目标点的设计不仅可以使机器人更快地完成任务,而且可以应用于多机器人编队控制。实际实验表明,该曲线模型可以通过机器人状态反馈修正误差,最终使机器人成功到达目标点。
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Exploring CVD techniques for the growth of novel carbon nanostructures
This paper designs a robot rapid moving strategy based on curve model. The virtual target points are introduced into the path planning of the robot so that the robot can complete the task smoothly and quickly. We give the method to solve the curve model in detail. At the same time, the design of state feedback from the robot control model based on the turning radius is used to solve the practical error problem. Simulation experiments show that the design of virtual target points can not only make the robot complete the task faster, but also can be applied to multi-robot formation control. The real experiment shows that the curve model can correct the error through the robot state feedback and finally make the robots reach the target point successfully.
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