Biomimetic Robotics and Sensing for Healthcare Applications and Rehabilitation: A Systematic Review

H. M. K. K. M. B. Herath, Nuwan Madusanka, S. L. P. Yasakethu, Chaminda Hewage, Byeong-Il Lee

Research output: Contribution to journalReview articlepeer-review

Abstract

Biomimetic robotics and sensor technologies are reshaping the landscape of healthcare and rehabilitation. Despite significant progress across various domains, many areas within healthcare still demand further bio-inspired innovations. To advance this field effectively, it is essential to synthesize existing research, identify persistent knowledge gaps, and establish clear frameworks to guide future developments. This systematic review addresses these needs by analyzing 89 peer-reviewed sources retrieved from the Scopus database, focusing on the application of biomimetic robotics and sensing technologies in healthcare and rehabilitation contexts. The findings indicate a predominant focus on enhancing human mobility and support, with rehabilitative and assistive technologies comprising 61.8% of the reviewed literature. Additionally, 12.36% of the studies incorporate intelligent control systems and Artificial Intelligence (AI), reflecting a growing trend toward adaptive and autonomous solutions. Further technological advancements are demonstrated by research in bioengineering applications (13.48%) and innovations in soft robotics with smart actuation mechanisms (11.24%). The development of medical robots (7.87%) and wearable robotics, including exosuits (10.11%), underscores specific progress in clinical and patient-centered care. Moreover, the emergence of transdisciplinary approaches, present in 6.74% of the studies, highlights the increasing convergence of diverse fields in tackling complex healthcare challenges. By consolidating current research efforts, this review aims to provide a comprehensive overview of the state of the art, serving as a foundation for future investigations aimed at improving healthcare outcomes and enhancing quality of life.
Original languageEnglish
Article number466
JournalBiomimetics
Volume10
Issue number7
Early online date16 Jul 2025
DOIs
Publication statusPublished - 16 Jul 2025

Keywords

  • bio-inspired robotics
  • biomimetic sensing
  • medical diagnostics
  • rehabilitation technologies
  • surgical innovations

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