Microscale Architectures for Intelligent Soft Robotics: From Functional Microneedles to Biointegrated Wearable Systems
Corresponding Author: Bingbing Gao
Nano-Micro Letters,
Vol. 18 (2026), Article Number: 179
Abstract
Soft robots, characterized by compliance, adaptability, and multimodal responsiveness, represent a rapidly advancing frontier in biomedical applications, wearable technologies, and environmental exploration. This review summarizes recent progress in soft robotics with a focus on material innovation, structural design, functional integration, and intelligent responsiveness. Emphasis is placed on the development of bioinspired and stimuli-responsive materials, the construction of modular and reconfigurable architectures, and the integration of actuation, sensing, and energy systems. Microneedle array-based soft robots and hydrogel-based 4D-printed systems are introduced as representative platforms for drug delivery, wound healing, and environmental monitoring. Key challenges, including limited durability, power autonomy, and multifunctional synergy, are critically analyzed in relation to practical operation and long-term reliability. Future directions involve the convergence of self-healing materials, intelligent control algorithms, and multiscale integration strategies to achieve enhanced adaptability and clinical translation. This review provides a comprehensive overview of the interdisciplinary development of next-generation soft robots that bridge materials science, biomedical engineering, and intelligent systems, paving the way toward real-world applications.
Highlights:
1 Comprehensive perspective on soft robotic systems integrating material innovation, structural design, functional synergy, and intelligent control across biomedical and environmental applications.
2 Representative platforms including microneedle array-based soft robots and 4D-printed hydrogel systems are analyzed to demonstrate programmable actuation, sensing, and therapeutic functions.
3 Critical challenges and future directions are outlined, emphasizing modular standardization, self-healing materials, and data-driven control strategies for next-generation adaptive soft robots.
Keywords
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