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智能机器人能最佳地、综合地使用多传感器信息，具有完成某一特定任务所需的完备信息，从而实现在各种复杂的、动态的、不确定环境中的自主性．多传感器信息融合是指将经过集成处理的多传感器信息进行合成，形成对外部环境某一特征的一种表达方式．经过集成与融合的多传感器信息能完善地、精确地反映环境特征，而单一传感器只能获得环境特征的部分信息段，经过集成与融合的多传感器信息具有以下特征￣［１］：信息冗余性、信息的互补性、信息的实时性和信息的低成本性，本文较为全面介绍智能机器人多传感器信息融合的一般方法，具体传感器信息融合，用于集成与融合的控制结构以及在机器人领域的具体应用，最后指出多传感器信息融合近期研究内容．
Intelligent robots can optimally and synthetically use multisensor information with the complete information they need to accomplish a particular task, enabling autonomy in a variety of complex, dynamic, and uncertain environments. Multi-sensor information fusion refers to the integration of multi-sensor information processing to form an expression of the external environment of a particular feature. After integrated and integrated multi-sensor information can perfectly and accurately reflect the characteristics of the environment, and a single sensor can only obtain part of the environmental characteristics of the information segment, after integration and integration of multi-sensor information has the following characteristics: [1]: information redundancy This paper introduces the general methods of intelligent robot multi-sensor information fusion, the specific sensor information fusion, the control structure for integration and integration, as well as in the field of robotics Specific application, finally pointed out the recent research content of multi-sensor information fusion.