机器人状态 meaning in Chinese

robotry

Including the testing of the validity of sensor data and the adapting of the q matrix in reai - time , the kalman filter is researched to improve the real - time , precision and robust of navigation system . with this method , the disturbances resulted from the many uncertainties in non - structure agricultural environment can be overcome , the movement of road line can be followed in the image space so that the technology of visual window can be used , the current measured state of wheeled mobile robot can be substituted by the predicted state to increase the real - time of control system
包括传感器数据有效性检验、 q阵自适应实时调整等内容，详细地研究了利用扩展卡尔曼滤波理论改善导航系统实时性、精确性和可靠性的具体方法，以克服农田非结构化自然环境里存在的多种不确定因素给导航系统造成的干扰，跟踪图像空间中路径目标的运动而便于有效地利用视觉窗口技术，提供轮式机器人状态的预测值代替实测值进行导航控制来改善控制系统的实时性等