Vision-Language-Action (VLA) models have demonstrated promising capabilities in robotic manipulation by integrating visual perception, language understanding, and action generation. Recent advances ha
HiFOR improves robotic manipulation by hierarchically predicting future states and retrieving relevant future information to guide action generation.
Vision-Language-Action (VLA) models have demonstrated promising capabilities in robotic manipulation by integrating visual perception, language understanding, and action generation. Recent advances have further incorporated future prediction to enhance the understanding of environmental dynamics and task progression. However, existing methods often model short-term dynamics and long-term task objectives separately, while directly incorporating predicted futures into action policies without sufficiently considering their relevance to current action requirements. To address these limitations, we propose HiFOR, a hierarchical foresight framework with action-guided world retrieval.…
Summary and abstract excerpt via Hugging Face Papers ↗ · arXiv.
HiFOR: Hierarchical Foresight with Action-Guided World Grounding for Vision-Language-Action Model was first seen on Hugging Face · Daily papers on Nov 2, 2026. Since then it has appeared in 13 checks on 2 different days. Its best position was #9 of 30, reached on Nov 2, 13:28 UTC. It dropped off the list after Nov 3, 03:28 UTC.
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Not at the moment. It was last on the list on Nov 3, 03:28 UTC, after 2 days of trending.
#9 on Hugging Face · Daily papers, on Nov 2, 13:28 UTC. Trendoday checks this list every 120 minutes.
It was first seen on Nov 2, 2026 and has been on the list on 2 days (13 checks) since.