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Core Challenges in Embodied Vision-Language Planning. (arXiv:2106.13948v4 [cs.LG] UPDATED)
May 26, 2022, 1:13 a.m. | Jonathan Francis, Nariaki Kitamura, Felix Labelle, Xiaopeng Lu, Ingrid Navarro, Jean Oh
cs.CV updates on arXiv.org arxiv.org
Recent advances in the areas of multimodal machine learning and artificial
intelligence (AI) have led to the development of challenging tasks at the
intersection of Computer Vision, Natural Language Processing, and Embodied AI.
Whereas many approaches and previous survey pursuits have characterised one or
two of these dimensions, there has not been a holistic analysis at the center
of all three. Moreover, even when combinations of these topics are considered,
more focus is placed on describing, e.g., current architectural methods, …
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