Evidence map›Paper›PMID 40710279›Full record

ReviewBiomimetics (Basel, Switzerland)2025

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

Abstract readReview
In one paragraph

Review in Biomimetics (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

H M K K M B HerathIndustry 4.0 Convergence Bionics Engineering, Pukyoung National University, Busan 48513, Republic of Korea.ORCID 0000-0002-1873-768X
Nuwan MadusankaDigital Healthcare Research Center, Pukyong National University, Busan 48513, Republic of Korea.ORCID 0000-0001-7982-1036
S L P YasakethuFaculty of Engineering, Sri Lanka Technology Campus, Padukka 10500, Sri Lanka.ORCID 0000-0002-9571-6866
Chaminda HewageCardiff School of Technologies, Cardiff Metropolitan University, Cardiff CF23 6PS, UK.ORCID 0000-0001-7593-6661
Byeong-Il LeeIndustry 4.0 Convergence Bionics Engineering, Pukyoung National University, Busan 48513, Republic of Korea.

Funding

This work was supported by the Global Joint Research Program funded by Pukyong Na-654 tional University 202412430001
6 · The paper itself

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.

Indexed as

bio-inspired roboticsbiomimetic sensingmedical diagnosticsrehabilitation technologiessurgical innovations

Identifiers

PMID40710279
PMCPMC12292793

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.