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Full-Stack Survey of Dexterous Robotic Hands in the Foundation-Model Era

This survey reviews dexterous robotic hand research from January 2024 to early November 2026, organizing the field into five layers: hardware, data, cross-embodiment transfer, learning, and evaluation. It highlights that human data value depends on kinematic, visual, and contact alignment, and that foundation policies still face embodiment-specific constraints. The paper identifies eleven open problems and proposes reporting standards for more measurable progress.

Why it matters: Provides a structured, current synthesis of a rapidly evolving area, offering actionable insights for researchers and practitioners.

Demystifying AI Agent Evaluation: A Comprehensive Guide

This article is adapted from Anthropic&#39;s engineering blog post &quot;Demystifying evals for AI agents,&quot; published on January 9, 2026. The original was authored by Mikaela Grace, Jeremy Hadfield, Rodrigo Olivares, and Jiri De Jonghe. This tra<!--autointro-->