In this dissertation , we mainly research into multi - sensor information fusion technology and apply it to line - guidance torpedo , and multi - sensor state estimation and track fusion algorithm are discussed 研究了多传感器信息融合技术，并对多传感器的状态估计和航迹融合算法在线导鱼雷中的应用进行了深入研究。
Based on multi - sensor information fusion , an autonomous control method for the shape - shifting robot in the field environment is proposed according to the structure features of a small shape - shifting hot 针对可变形机器人自身结构特点，提出了一种基于多传感器信息融合的可变形机器人在野外环境中自主控制的方法。
Multi - sensor information fusion means processing data from more than one sensor to get new efficient information , which is not available from any single sensor 多传感器信息融合是指对来自多个传感器的数据进行多级别、多方面、多层次的处理，从而产生新的有意义的信息，而这种新信息是任何单一传感器所无法获得的。
The plan to hole searching based on wrist sensor is proposed . physical model of sensor , tool tail - end and the environment is made . the stability of the model is also analyzed 在此基础上提出了基于力传感器信息进行搜孔的方法；建立了传感器、端部执行器与环境的物理模型，并对该力控制系统的稳定性进行了分析。
The reason is that main because one or two senor information is outlier . before data fuzion , it ' s necessary to process outlier for the object estimation of the control system 出现多传感器信息矛盾的原因主要因为个别传感器给出的信息出现了异常，因此，在进行融合前剔除异常信息是决定多传感器融合系统性能的关键。
In order to realize stable walking of humanoid robot , this paper puts forward a gait compensation algorithm , which compensates the joint torques according to information from the universal force - moment sensors in robot feet 摘要为实现仿人机器人的稳定行走，提出一种根据其足底六维力力矩传感器信息、针对关节力矩的步态补偿算法。
The application of multisensor information fusion of dempster - shafer evidential reasoning to sliding mode control with measuring noise was investigated , which helps to depress the uncertainty of the sliding mode function 摘要研究了d - s证据推理多传感器信息融合方法在存在量测噪声的滑模控制中的应用，它有助于削弱模函数的不确定性。
Based on the robot task , a kind of obstacle - navigation control method is presented which takes the information of sensors and constraints and the feedback of movement as input and the production system as output 根据机器人的作业任务，提出了基于传感器信息、约束信息以及动作反馈信息作为输入，产生式系统作为动作输出的越障控制方式。
This dissertation considers state fusion estimation of multisensor information fusion theory . the main work of here is to solve the problems when fusion estimation theory is applied in practice 本文的研究内容为多传感器信息融合理论中的状态融合估计理论，主要针对精确估计的实际应用中，状态融合估计理论存在的一些问题提出了解决方法。
