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Multi-modal information fusion plays an important role in many robotic applications, such as target grasping, manipulation and fine operation. Traditional fusion strategies, e.g. Bayesian fusion, directly adopt each uni-modal likelihood without giving enough attention to the fact that all these likelihoods are often vulnerable to sample data and modality-specific identification algorithm, which could...
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