Monolithic soft robotics enabled by programmable materials
Soft robotic systems enable autonomous shape morphing through intrinsically stimuli-responsive materials, marking a significant advance over conventional rigid, component-based robots. While multi-material soft actuators offer functional versatility, they often compromise structural continuity and design simplicity which are central tenets of soft robotics. By contrast, monolithic soft robotic systems (MSRs) employ single-phase or compositionally unified material architectures that embed actuation functionality directly into the material–geometry construct. This review studies key actuation mechanisms, canonical morpho-functional shape archetypes and programmable material platforms that collectively underpin MSR operation. We examine how deformation logic can be encoded into a material via intrinsic property gradients, internal anisotropies and field-responsive domains, thereby enabling scalable, adaptive responses to external stimuli. Finally, we outline key scientific challenges and strategic directions for MSR development, including the integration of embedded intelligence, model-based programmability, fabrication scalability, sustainable material innovation and multifunctional autonomy.
Authors
- John Marcus Bell (ORCID: https://orcid.org/0000-0002-4284-6261)
- Shazed Aziz (ORCID: https://orcid.org/0000-0002-8834-0397)
- Peter J. Halley (ORCID: https://orcid.org/0000-0001-8014-6613)
- Luigi‐Jules Vandi (ORCID: https://orcid.org/0000-0002-1619-6883)
- Zhonghua Zhu (ORCID: https://orcid.org/0000-0003-2144-8093)
- Ashok Kumar Nanjundan (ORCID: https://orcid.org/0000-0001-6502-0844)
- Bidita Salahuddin (ORCID: https://orcid.org/0000-0003-0595-6741)
- Pratheep K. Annamalai (ORCID: https://orcid.org/0000-0002-7284-0813)
- Umme Salma Khanam (ORCID: https://orcid.org/0000-0003-0520-2413)
- Xi Zhang
Institutions
- University of Hertfordshire (GB)
- The University of Queensland (AU)
- University of Southern Queensland (AU)
Publication Details
- Journal
- Materials Science and Engineering R Reports
- Published
- 2026-04-16
- DOI
- https://doi.org/10.1016/j.mser.2026.101229
- Primary Topic
- Soft Robotics and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Australian Research Council