Embodied Artificial Intelligence (AI) is an intelligent system formed by agents and their environment through active perception, embodied cognition, and action interaction. Existing embodied AI remains confined to human-crafted setting, in which agents are trained on given memory and construct models for given tasks, enabling fixed embodiments to interact with relatively static environments. Such methods fail in in-the-wild setting characterized by variable embodiments and dynamic open environments. This paper introduces self-evolving embodied AI, a new paradigm in which agents operate based on their changing state and environment with memory self-updating, task self-switching, environment self-prediction, embodiment self-adaptation, and model self-evolution, aiming to achieve continually adaptive intelligence with autonomous evolution. Specifically, we present the definition, framework, components, and mechanisms of self-evolving embodied AI, systematically review state-of-the-art works for realized components, discuss practical applications, and point out future research directions. We believe that self-evolving embodied AI enables agents to autonomously learn and interact with environments in a human-like manner and provide a new perspective toward general artificial intelligence.

翻译：具身人工智能（Embodied AI）是通过智能体与其环境之间的主动感知、具身认知与行动交互形成的智能系统。现有具身人工智能仍局限于人为设定的框架，其中智能体基于给定记忆进行训练，并为预设任务构建模型，使固定具身能够在相对静态的环境中交互。此类方法难以适应以可变具身与动态开放环境为特征的野外场景。本文提出自进化具身人工智能这一新范式，其智能体能够根据自身变化状态与环境，通过记忆自更新、任务自切换、环境自预测、具身自适应与模型自进化进行运作，旨在实现具有自主进化能力的持续适应性智能。具体而言，我们阐述了自进化具身人工智能的定义、框架、组件与机制，系统综述了已实现组件的先进研究成果，探讨了实际应用场景，并指出了未来研究方向。我们相信，自进化具身人工智能能使智能体以类人方式自主学习并与环境交互，为通向通用人工智能提供新的视角。