Abstract: In this paper, we analyze the possibilities offered by Deep Learning State-of-the-Art architectures such as Transformers and Visual Transformers in generating a prediction of the human’s ...
Abstract: This paper presents a robot navigation method that integrates the Transformer model with Deep Reinforcement Learning (DRL) for autonomous navigation in crowded and dynamic environments. By ...
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