Research on the identification method of interactive guiding movement by the end sensor of robot

Abstract

With the emergence of human-computer interaction, human-machine collaboration and human-computer integration, The robot's perception and motion response of external interactive movement or interactive force has become the key technology for human-computer integration. The identification method of interactive guiding motion the is studied and a robot end sensor with the perception function of external interaction motion is designed. Based on the sensor designed, the recognition principle of the perceptron is analyzed and modeled based on the micro-displacement model. A neural network fusion model between array sensing unit micro-displacement and six-axis response displacement is constructed. In order to ensure the recognition accuracy of the sensing unit, the method of fuzzy information fusion is used to preprocess the sensing unit information. In order to improve and verify the recognition performance of the sensor, the relevant design parameters of the sensor are optimized and analyzed.