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Enhance implementation of embedded robot auto-navigation system using FPGA for better performance

机译:增强使用FPGA实现嵌入式机器人自动导航系统以实现更好的性能

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Nowadays, Auto-navigation robots are cutting-edge and widely used and investigated by robotics experts. An autonomous robot can function and complete every task without any human guidance. Since it functions without human intervention, therefore obstacles detection and localization are significant and need to figure out. First, how the robot obstacle detection? Second, how to control auto-navigation robot localization accuracy and stability motion of the robot? Both of conditions would significantly affect performance and accuracy of robot to detect and reach destination. Therefore, we needed to figure out few solutions to solve these problems before create an auto-navigation system. Initially, testing and using suitable detection sensors and design suitable algorithm for sensor to detect obstacles. Then, Global Positioning System (GPS) would be used to calculate based upon information from GPS receiver to mapping the shortest path for robot to reach destination. Lastly, timing of the robot will generate by using 50MHz default frequency of DE0-Nano to control motors and direction of the wheels. In addition, using DE0-Nano board the design operating frequency can reach maximum 1GHz. Furthermore, the potential resources of Quartus II version 14.1 are utilized to implement supported modules of auto-navigation robot stages. The design had been carried out on Altera Cyclone IV FPGA. The autonavigation robots were provided higher flexibility and could help people do to something which will develop into life-threatening. So that, it's rapidly enlarging on industry floor.
机译:如今,自动导航机器人是尖端,由机器人专家广泛使用和调查。自主机器人可以在没有任何人类指导的情况下运作并完成每项任务。由于它没有人为干预的功能,因此障碍检测和定位是重要的并且需要弄清楚。首先,机器人障碍如何检测?二,如何控制机器人的自动导航机器人定位准确性和稳定运动?这种情况会显着影响机器人的性能和准确性来检测和到达目的地。因此,我们需要弄清楚几个解决方案来解决自动导航系统之前解决这些问题。最初,测试和使用合适的检测传感器和设计合适的传感器算法来检测障碍物。然后,全球定位系统(GPS)将用于基于来自GPS接收器的信息来计算用于映射机器人的最短路径到达目的地。最后,通过使用DE0-nano的50MHz默认频率来产生机器人的定时来控制车轮的电动机和方向。此外,使用DE0-NANO板设计工作频率可以达到最大1GHz。此外,Quartus II版本14.1的潜在资源用于实现支持的自动导航机器人阶段的支持模块。该设计已在Altera Cyclone IV FPGA上进行。 AutoNavigation机器人提供更高的灵活性,可以帮助人们对危及生命造成的东西。因此,它在工业楼层迅速扩大。

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