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January 21, 2026Robotics2 citationsOpen Access

Synergistic Advancement of Physical and Information Interaction in Exoskeleton Rehabilitation Robotics: A Review

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CFCuizhi FeiQMQiaoling MengHYHongliu Yu

Key Points

  • The aim is to explore the integration of physical and informational interactions in exoskeleton rehabilitation technology.
  • Literature review of publications from 2011 to 2025 in major databases.
  • Focus on studies from 2018 to 2025 reflecting recent technological advancements.
  • Analysis of the role of bionic structures and physiological detection in rehabilitation.
  • Bionic design enables coordinated movements between humans and robots.
  • Enhanced recognition of movement intentions through multimodal signal detection.
  • Improvements in limb function recovery and neural remodeling are linked to better interaction systems.

Abstract

The exoskeleton rehabilitation robot is a structural robot that uses the actuator to control, so as to construct a human–robot collaborative rehabilitation training system to realize the perception and decoding of patients and promotes the recovery of limb function and neural remodeling. This review focused on the synergistic advancement of physical and information interaction in exoskeleton rehabilitation robotics. This review systematically retrieved literature related to the synergistic advancement of physical and information interaction in exoskeleton rehabilitation robotics. Publications from 2011 to 2025 were searched for across the EI, IEEE Xplore, PubMed, and Web of Science databases. The included studies mainly covered the period from 2018 to 2025, reflecting recent technological progress. This article summarizes the collaborative progress of physical and informational interaction in exoskeleton rehabilitation robots. The physical and information interaction is manifested in the bionic structure, physiological information detection and information processing technology to identify human movement intention. The bionic structural design is fundamental to realize natural coordination between human and robot to improve the following of movements. The active participation and movement intention recognition accuracy are enhanced based on multimodal physiological signal detection and information processing technology, which provides a clear direction for the development of intelligent rehabilitation technology.

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Cite This Study

Fei et al. (2026) studied this question.

synapsesocial.com/papers/69706c09b6488063ad5c170dhttps://doi.org/10.3390/robotics15010025
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