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当机器人配备多个传感器时，控制系统必须能够把来自不同传感器的数据融合为被测物体的准确表达．本文探讨了多传感器融合的体系结构和两级融合系统，并给出了运用于物体识别的实验结果．
When a robot is equipped with multiple sensors, the control system must be able to fuse the data from the different sensors into the accurate representation of the measured object. This paper discusses the architecture of multi-sensor fusion and the two-level fusion system, and gives the experimental results of object recognition.