基于D-S数据融合的移动机器人研究

Wei Xiao-hui, Sheng Hai-Yun
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引用次数: 0

摘要

该系统基于多传感器信息和D-S数据融合算法,通过提供足够可靠的周围环境信息,使机器人能够自主规划路径并避开障碍物,从而最终接近目标。采用主从控制系统作为控制系统。该系统采用了激光传感器、超声波传感器、红外传感器、光传感器、光电编码器等传感器。这些传感器相互组合在一起,实现了机器人的测距、避障和目标搜索等功能。通过对相关软硬件的调试,最终达到了设计要求。实验证明,该机器人控制系统具有很高的稳定性和鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Study on Mobile Robots Based on D-S Data Fusion
Based on multi-sensor information and the D-S Data Fusion Algorithm, the presented system enables a robot to plan paths by itself and avoid obstacles by providing sufficient and reliable information regarding its surroundings, so the robot can approach its target eventually. A master-slave control system is adopted as the control system. Laser sensors, ultrasonic sensors, infrared sensors, photo sensors, photoelectric encoders as well as other sensor types are employed in this system. With these sensors assembling with each another, the functions of a robot, such as ranging, obstacle avoidance and target search are realized. The system finally reaches design requirements through debugging related software and hardware. Experiments have demonstrated that, the robot control system is highly stable and robust.
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