Firstly, the dexterity of grasping object in multi-fingered hand grasping system was discussed and pointed out that the dexterity of this system was depending on the function of each finger.
首先讨论了多指抓持系统中抓持物体的灵巧性，指出该系统的灵巧性取决于各手指的性能。
According to outputs of eight finger force sensors the grasping force of gripper is obtained using the multi-sensor data fusion technique based on the BP artificial neural network.
针对舱外自由移动机器人手爪，运用BP神经网络方法，对八个指力传感器的输出进行融合，得到手爪夹持力的大小。
According to outputs of eight finger force sensors the grasping force of gripper is obtained using the multi-sensor data fusion technique based on the BP artificial neural network.
针对舱外自由移动机器人手爪，运用BP神经网络方法，对八个指力传感器的输出进行融合，得到手爪夹持力的大小。
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