True Embodiment vs. Pseudo Embodiment: 2026 Embodied Large Model Elimination Race, Who Truly 'Lives' in the Physical World?
真具身与伪具身：2026具身大模型淘汰赛，谁在物理世界里真正“活着”？
This article explores the current state of embodied AI in 2026, emphasizing the distinction between true and pseudo embodiment. It outlines three hard criteria for true embodied models, including iterative development, real-world deployment, and customer value. The piece also discusses the convergence of world models and VLA architectures as the next evolutionary direction for embodied intelligence, with insights from industry leaders and research institutions.
The article critically examines the state of embodied AI in 2026, distinguishing between 'true embodiment' and 'pseudo embodiment' by analyzing technical and commercial realities. It highlights the importance of real-world deployment, iterative model development, and the integration of world models with VLA architectures as key differentiators in the field.
Source: Chinese robotics — Robot learning research · Read original article ↗
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2023 年成立即确定端到端 VLA 路线，2024 年 6 月 RoboMamba 入选 NeurIPS 2024、获图灵奖得主杨立昆关注；2025 年 6 月 FiS-VLA 超越国际标杆 π0 达 30%，以 117.7 Hz 控制频率重新定义“又快又聪明”；2025 年 11 月 Video2Act 率先实现世界模型与 VLA 融合，超越硅谷标杆 30% 以上，在世界模型全景综述中被 Philip Torr、Pieter Abbeel 等学者列为“标志性架构”；2026 年 4 月发布全球第一个类脑架构 VLA 具身大模型 NeuroVLA，构建“皮层-小脑-脊髓”三层类脑体系，被学界认证为全球唯一同时具备主动感知、故障自恢复与时序记忆三大类生物运动能力的具身智能系统。
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2023 年成立即确定端到端 VLA 路线，2024 年 6 月 RoboMamba 入选 NeurIPS 2024、获图灵奖得主杨立昆关注；2025 年 6 月 FiS-VLA 超越国际标杆 π0 达 30%，以 117.7 Hz 控制频率重新定义“又快又聪明”；2025 年 11 月 Video2Act 率先实现世界模型与 VLA 融合，超越硅谷标杆 30% 以上，在世界模型全景综述中被 Philip Torr、Pieter Abbeel 等学者列为“标志性架构”；2026 年 4 月发布全球第一个类脑架构 VLA 具身大模型 NeuroVLA，构建“皮层-小脑-脊髓”三层类脑体系，被学界认证为全球唯一同时具备主动感知、故障自恢复与时序记忆三大类生物运动能力的具身智能系统。
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Source：Chinese robotics — Robot learning research · ithome.com