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pro vyhledávání: '"Mavrogiannis, Angelos"'
There has been a lot of interest in grounding natural language to physical entities through visual context. While Vision Language Models (VLMs) can ground linguistic instructions to visual sensory information, they struggle with grounding non-visual
Externí odkaz:
http://arxiv.org/abs/2409.15505
Cooking recipes are challenging to translate to robot plans as they feature rich linguistic complexity, temporally-extended interconnected tasks, and an almost infinite space of possible actions. Our key insight is that combining a source of cooking
Externí odkaz:
http://arxiv.org/abs/2310.00163
We address the problem of ego-vehicle navigation in dense simulated traffic environments populated by road agents with varying driver behaviors. Navigation in such environments is challenging due to unpredictability in agents' actions caused by their
Externí odkaz:
http://arxiv.org/abs/2011.03748
Akademický článek
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