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Feature extraction and classification algorithm is important to determine the accuracy of classification. The terrain recognition of a legged robot has higher requirements on real-time classification. Considering the traditional training methods is difficult to meet the requirements, this paper applies the extreme learning machine using wavelet features to terrain recognition. The experimental results...
Feature extraction and classification algorithm is the key to classification accuracy. Terrain recognition for off-road robot need higher real-time classification algorithm, while the traditional neural network training method is difficult to meet the requirements. Extreme learning machine is used to classify the terrain pictures collected by robot in real time. Experimental results show that the...
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