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本文提出 Code-Only-As-Policy (COAP) 范式，将机器人本体视为图灵机，用显式代码替代 VLM/VLA 进行决策与状态跟踪，并借助编码智能体实现闭环递归自我改进；在 RoboDojo 的 42 项双臂任务上达到 70.24% 成功率，且测试时无需模型在环。
Clone Robotics demonstrated a teleoperated humanlike five-finger robotic hand from its legacy Torso 3 platform while announcing a November launch for Torso 4, a redesigned system aimed at automating stationary bimanual workplace tasks. The footage does not showcase the new platform's autonomous capabilities, which remain a product goal.
EyeRobot 2.0 介绍了一种受人类视觉启发的机器人操作框架，通过双目相机上的主动注视（Active Visual Fixation）实现精细双臂操作，无需腕部相机。研究在真实与模拟任务中进行了上千次试验，证明该方法在物体遮挡腕部相机时可将成功率提升至对手的两倍以上。
ENCORE 提出了一种少样本智能体框架，将机器人操作演示蒸馏为可供编码智能体阅读的证据包，从而自动编写策略程序，在 LIBERO-PRO 上以 96.3% 超过此前最优智能体系统，并在真实双臂机器人上完成魔方交接与杯子翻转任务。
DeltaWAM introduces delta-based world-action models for bimanual manipulation, enhancing efficiency and performance by predicting visual changes and actions. It demonstrates improved success rates and reduced computational overhead.