World In-Context Learning for Agentic Robot Manipulation
In shortRobots learn manipulation from a single demo by rehearsing in simulation, writing feedback to context, achieving 83.4% success without gradient updates.
Published 9 Nov 2026
12 Nov 2026
200 papers that day.
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Learning Heterogeneous Tactile Representation for General Dexterous Manipulation
In shortLingBot-Touch learns a unified tactile representation that works across different sensor types and improves dexterous manipulation.
Published 9 Nov 2026
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198 more papers from this day-
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Don't Just Trust Your Memory: Evidence-Linked Memory Reduces Memory-Induced Degradation in LLM Agents
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