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From VLM Planners to Robotic Agents: Self-Evolving Harnesses for History-Dependent Manipulation

Vision-language-action (VLA) models achieve strong performance across embodied manipulation tasks by unifying visual understanding, language conditioning, and action generation. However, long-horizon

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–Rank now
#14Best rank
–Score · 24h
46Score · 7d
2Days on list
11Snapshots
Oct 22, 2026First seen

Summary

From VLM Planners to Robotic Agents: Self-Evolving Harnesses for History-Dependent Manipulation was first seen on Hugging Face · Daily papers on Oct 22, 2026. Since then it appeared in 11 hourly checks across 2 days, peaking at #14 on Oct 23, 05:19 UTC. It was last on the list on Oct 23, 05:19 UTC.

Rank history

Position on Hugging Face · Daily papers at every check (lower is better).

#1#11#20#30 09:1814:1819:1800:1805:19 Oct 22, 09:18 UTC · #30Oct 22, 11:18 UTC · #30Oct 22, 13:18 UTC · #28Oct 22, 15:18 UTC · #27Oct 22, 17:18 UTC · #28Oct 22, 19:18 UTC · #30Oct 22, 21:18 UTC · #30Oct 22, 23:18 UTC · #30Oct 23, 01:18 UTC · #28Oct 23, 03:18 UTC · #24Oct 23, 05:19 UTC · #14

Last 14 days

Best rank per day (UTC).

Oct 14today

Metric history

Platform metric as reported by Hugging Face.

04711 09:1814:1819:1800:1805:19 Oct 22, 09:18 UTC · 5Oct 22, 11:18 UTC · 5Oct 22, 13:18 UTC · 10Oct 22, 15:18 UTC · 10Oct 22, 17:18 UTC · 11Oct 22, 19:18 UTC · 11Oct 22, 21:18 UTC · 11Oct 22, 23:18 UTC · 11Oct 23, 01:18 UTC · 11Oct 23, 03:18 UTC · 11Oct 23, 05:19 UTC · 11

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From VLM Planners to Robotic Agents: Self-Evolving Harnesses for History-Dependent Manipulation on TrendBoard
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