arXiv:2608.03556cs.RO2026-08

提出人本具身智能框架,让柔性可穿戴机器人更懂人体、更贴合用户。

Human Centric Embodied Intelligence for Soft Wearable Robotics

  • 构建感知-认知-执行-增强框架,以人为中心设计机器人系统。
  • 强调长期适配与信任建立,推动柔性机器人在康复等场景落地。
  • 适合关注人机协同、可穿戴设备与临床转化的研究者。

柔性可穿戴机器人已从概念验证迈向康复、职业辅助和人类增强的实用平台。随着领域成熟,核心挑战已超越材料与执行器的改进,转向如何将感知、智能与人体适应性集成到用户能长期舒适佩戴、信任并受益的系统中。为此提出人本具身智能(HCEI)理念,强调智能源于人体-机器人系统的交互,涉及形态、多模态感知、自适应认知、顺应性驱动及使用者生理行为的协同适应。本文引入感知-认知-执行-增强(PCAA)框架,以感知与认知为设计核心,突破传统以执行器为中心的范式。综述了柔性材料、可穿戴传感、人工智能、驱动技术、人机交互、数字孪生、临床转化、制造、监管与伦理等进展,指出各环节相互依赖,共同决定长期个性化与现实部署能力。该框架旨在指导未来研究,促进跨学科协作,加速下一代柔性可穿戴机器人向个性化、预测性、以人为本的智能系统演进。

原文摘要 · Abstract (English)

Soft wearable robots have evolved rapidly from proof-of-concept devices into promising platforms for rehabilitation, occupational assistance, and human augmentation. As the field matures, its central challenge extends beyond the development of softer materials and more capable actuators to the integration of sensing, intelligence, and human adaptation into systems that users can wear comfortably, trust, and benefit from over extended periods. This transition motivates the concept of Human-Centric Embodied Intelligence (HCEI), in which intelligence emerges from the coupled human-robot system through the interaction of morphology, multimodal sensing, adaptive cognition, compliant actuation, and the wearer's own physiological and behavioral adaptation. To organize this perspective, this review introduces the Perception-Cognition-Actuation-Augmentation (PCAA) framework, which positions perception and cognition as the primary drivers of design, shifting development beyond the conventional actuator-first paradigm. Using this framework, the review synthesizes advances in soft materials, wearable sensing, artificial intelligence, actuation, human-robot interaction, digital twins, clinical translation, manufacturing, regulation, and ethics, highlighting how these interdependent components collectively shape long-term personalization and real-world deployment. By providing a unified conceptual framework and design perspective, this review aims to guide future research, foster interdisciplinary collaboration, and accelerate the translation of next-generation soft wearable robots toward personalized, predictive, and human-centric wearable intelligence.

可穿戴机器人人机交互柔性材料智能系统

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