PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
April 19, 2026Materials Science and Engineering R Reports2 citationsOpen Access

Monolithic soft robotics enabled by programmable materials

View Full Paper
SAShazed AzizXZXi ZhangBSBidita Salahuddin

Key Points

  • The review aims to analyze the mechanisms and materials behind monolithic soft robotic systems.
  • Review of existing soft robotic systems and their actuation mechanisms.
  • Examination of programmable material platforms used in monolithic soft robotics.
  • Analysis of material properties that enable responsive deformation.
  • Identified key actuation mechanisms that facilitate flexibility in robotic design.
  • Showcased the potential of material property gradients for adaptive responses.
  • Outlined challenges in integrating intelligence and sustainable materials for future developments.

Abstract

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.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Aziz et al. (2026) studied this question.

synapsesocial.com/papers/69e47193010ef96374d8de3ahttps://doi.org/10.1016/j.mser.2026.101229
Ask AI
Helpful
Bookmark
Share
View Full Paper