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Abstract
Biohybrid microrobots integrate biological components with synthetic structures to navigate complex biological environments, for example, for the delivery of drugs, microsurgery and in vivo diagnostics. In this Review, we propose a biophysics-informed design framework for biohybrid microrobots by connecting biophysical principles with biohybrid solutions. We first identify the biophysical constraints imposed by the human body that limit microrobot integrity, locomotion, navigation and functionality. We then examine the biophysical mechanisms through which biological cells, microorganisms and their derivatives adapt to these challenges, and explore how these can be utilized to improve the performance of microrobots. Building on these insights, we describe how biohybrid microrobots translate biophysical strategies into engineering solutions across four design domains: deformation, actuation, navigation and programming. Finally, we discuss persisting in vivo challenges, key considerations for clinical translation and future developments. By articulating design logics that span biological and synthetic domains, this framework provides a functional definition of biohybrid microrobots and offers a shared language for researchers across disciplines. © Springer Nature Limited 2026.
| Original language | English |
|---|---|
| Journal | Nature Reviews Bioengineering |
| Online published | 11 Mar 2026 |
| DOIs | |
| Publication status | Online published - 11 Mar 2026 |
Funding
The authors thank the support from Multi-Scale Medical Robotics Centre (MRC), InnoHK, at the Hong Kong Science Park and the SIAT-CUHK Joint Laboratory of Robotics and Intelligent Systems. This work was supported by the Hong Kong Research Grants Council (RGC) with project nos. STG1/E-401/23-N, RFS2122-4S03, R4015-21, 14300621, 14301122, 14205823 and 14209024.
RGC Funding Information
- RGC-funded
Fingerprint
Dive into the research topics of 'Biophysics-informed design of biohybrid microrobots'. Together they form a unique fingerprint.Projects
- 2 Active
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STG-ExtU-Lead: AI-assisted Microrobotic Platform for Minimally Invasive Interventions
ZHANG, L. (Main Project Coordinator [External]) & ZHANG, J. (Principal Investigator / Project Coordinator)
1/01/24 → …
Project: Research
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RIF-ExtU-Lead: A Microrobotic Platform with Swarming Magnetic Microgels for Endovascular Embolization
ZHANG, L. (Main Project Coordinator [External]) & SHUM, A. H. C. (Principal Investigator / Project Coordinator)
30/06/22 → …
Project: Research
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