Neural Radiance Fieldsを用いた実機不要な自律移動学習手法の提案

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  • A Proposal for an Autonomous Navigation Learning Method via Neural Radiance Fields that Does Not Require Actual Robot

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<p>This paper investigates using Neural Radiance Fields (NeRF) to enable autonomous navigation simulations without the need for actual robots. NeRF's strength lies in its ability to render photorealistic images, promising a solution to the long-standing challenge of the domain gap between simulation and real-world environments. We present findings that validate the effectiveness of a NeRF-simulated environment for training a reinforcement learning policy. Once trained in the NeRF environment, this policy can navigate an actual robot in the real world.</p>

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