具备自我进化的具身AI
Self-evolving Embodied AI
AI总结：
本文提出自我进化的具身AI，通过智能体的自我更新与适应能力，实现持续学习和动态环境交互，推动通用人工智能的发展。
摘要：
具身人工智能（AI）是一种通过主动感知、具身认知和行动交互由智能体及其环境形成的智能系统。现有的具身AI仍局限于人工设定的环境，在其中智能体是在给定的记忆上进行训练，并为给定的任务构建模型，使固定形态的智能体与相对静态的环境进行交互。此类方法在真实环境中表现不佳，真实环境以可变形态和动态开放环境为特征。本文介绍了自我进化的具身AI，一种新的范式，在其中智能体基于其变化的状态和环境进行操作，具有记忆自我更新、任务自我切换、环境自我预测、形态自我适应和模型自我进化的功能，旨在实现持续适应的智能。具体而言，我们提出了自我进化的具身AI的定义、框架、组件和机制，系统回顾了已实现组件的最新研究成果，讨论了实际应用，并指出了未来研究方向。我们认为，自我进化的具身AI使智能体能够以类人的方式自主学习和与环境交互，并为通用人工智能提供新的视角。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
