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Lobsters

Pragmatic Anthropomorphism, or: How to Talk to an Autocompleting Cricket

Related reading

  1. Fingers as Legs: Learning Self-Supported Locomotion and Manipulation with an Anthropomorphic Hand

    The authors train an anthropomorphic robotic hand to crawl, steer, and recover from falls using its fingers for both support and manipulation, via a reinforcement‑learning reward formulation tuned to the hand's asymmetry. Sim‑to‑real experiments show faster locomotion than quadruped‑style rewards and successful untethered tasks without onboard vision.

    Hugging Face Daily Papersarxiv.org1 minpaper
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    ANTMAN is an adaptive coordination framework that tracks unresolved information needs via a Need Graph, allowing agents to route work and recover locally as evidence accumulates. Experiments show it scales to 16× larger contexts with only 1.23× coordination overhead, far less than static partition baselines, while keeping answer quality high.

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