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World Models

283 bytes removed, 28 June
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| 2020 || [https://arxiv.org/abs/2003.08934 NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis] || Ben Mildenhall et al. || high-fidelity views of complex 3D scenes, instrumental in creating synthetic data for robotics, and relevant for generating diverse visual environments for training robots.
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| 2021 || [https://arxiv.org/abs/2103.11624 Diverse and Admissible Trajectory Forecasting through Multimodal Context Understanding] || Krishna D. Kamath et al. || Focuses on predicting diverse future trajectories, crucial for creating realistic scenarios in robotics simulations.
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| 2024 || [https://arxiv.org/abs/2402.05741 Real-world Robot Applications of Foundation Models: A Review] || K Kawaharazuka, T Matsushima et al. || overview of the practical application of foundation models in real-world robotics, including the integration of specific components within existing robot systems.