ArticleFrontiers in robotics and AI2022
The science of soft robot design: A review of motivations, methods and enabling technologies.
Article in Frontiers in robotics and AI, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Harvesting environmental circadian oscillations for energy autonomy of soft robots.Nature communications · 2026Article
- Vacuum-Laser Fabrication of Programmable Soft Actuators.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Informing robot design through early public engagement: lay perceptions of soft versus rigid socially assistive and rescue robots.Frontiers in robotics and AI · 2026Article
- Continuum Robot Segments with High Output Stiffness via Diagonal Backbones.IEEE robotics and automation letters · 2026Article
- Fabrication of Soft Robotics by Additive Manufacturing: From Materials to Applications.Chemical reviews · 2025Review
- Bio-inspired designs: leveraging biological brilliance in mechanical engineering-an overview.3 Biotech · 2024Review
- Design Optimization of a Hybrid-Driven Soft Surgical Robot with Biomimetic Constraints.Biomimetics (Basel, Switzerland) · 2024Article
- Low-voltage electrohydraulic actuators for untethered robotics.Science advances · 2024Article
- Non-contact robotic manipulation of floating objects: exploiting emergent limit cycles.Frontiers in robotics and AI · 2023Article
- Soft robotics towards sustainable development goals and climate actions.Frontiers in robotics and AI · 2023Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Novel technologies, fabrication methods, controllers and computational methods are rapidly advancing the capabilities of soft robotics. This is creating the need for design techniques and methodologies that are suited for the multi-disciplinary nature of soft robotics. These are needed to provide a formalized and scientific approach to design. In this paper, we formalize the scientific questions driving soft robotic design; what motivates the design of soft robots, and what are the fundamental challenges when designing soft robots? We review current methods and approaches to soft robot design including bio-inspired design, computational design and human-driven design, and highlight the implications that each design methods has on the resulting soft robotic systems. To conclude, we provide an analysis of emerging methods which could assist robot design, and we present a review some of the necessary technologies that may enable these approaches.
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Registered trials
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 OpenQuestion graph.