Evidence map›Paper›PMID 42375391›Full record

ReviewCyborg and bionic systems (Washington, D.C.)2026

Autonomous Microrobots for Spatiotemporally Active Therapeutic Delivery and Controlled Release.

Shihao Zhong, Anping Wu, Shanming Bai, Henwei Huang, Toshio Fukuda, Huaping Wang

Abstract readReview
In one paragraph

Review in Cyborg and bionic systems (Washington, D.C.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Shihao ZhongIntelligent Robotics Institute, School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China.ORCID https://orcid.org/0000-0001-5710-1767
Anping WuSchool of Medical Technology, Beijing Institute of Technology, Beijing 100081, China.ORCID https://orcid.org/0009-0002-3562-7770
Shanming BaiIntelligent Robotics Institute, School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China.ORCID https://orcid.org/0009-0004-8427-9519
Henwei HuangSchool of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, Singapore.ORCID https://orcid.org/0000-0003-1921-8897
Toshio FukudaDepartment of Micronano Systems Engineering, Nagoya University, Nagoya 464-8603, Japan.ORCID https://orcid.org/0000-0002-3885-7152
Huaping WangIntelligent Robotics Institute, School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China.ORCID https://orcid.org/0000-0001-8440-3402

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The clinical efficacy of many conventional passive drug delivery systems is frequently constrained by their low targeting efficiency, important off-target toxicity, and inadequate capacity for traversing biological barriers. Autonomous microrobots, as miniature intelligent platforms capable of active navigation and on-demand responsiveness, offer an active delivery strategy for achieving spatiotemporally precise targeted therapy. This review aims to systematically consolidate and critique the theoretical foundations, key technologies, cutting-edge applications, and future challenges of this emergent interdisciplinary field. We first provide an in-depth analysis of the technological frameworks underpinning the 2 core functionalities: targeted delivery and on-demand release. This encompasses a diverse array of propulsion and navigation strategies-from chemical and physical fields to biohybrid systems-as well as programmed drug release mechanisms responsive to endogenous and exogenous stimuli. Building on this, we introduce a hierarchical paradigm organized by biological-barrier traversal capability to review the preclinical progress of microrobots, from localized delivery in accessible body cavities to deep-tissue and trans-barrier applications. This function-oriented framework more directly links microrobot design to the progressive physiological constraints encountered in vivo, thereby providing a more integrated and translationally relevant perspective on biomedical applications and clinical potential. Concurrently, this paper examines the bottlenecks impeding their clinical translation, including biosafety, systemic controllability, and regulatory science. Looking forward, the deep integration of microrobotics with smart materials, artificial intelligence, and theranostic systems is poised to cultivate a new generation of intelligent medical robots capable of personalized treatment via closed-loop manners.

Identifiers

PMID42375391
PMCPMC13311261

What Socratic 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 Socratic graph.