ArticleBiomicrofluidics2021
Synergizing microfluidics with soft robotics: A perspective on miniaturization and future directions.
Article in Biomicrofluidics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed.
- Scalable design of fluidic DEMUX/MUX.Science advances · 2026Article
- Surface roughness in microfluidic device fabrication: limitations of conventional methods and a novel solution for multi-material bonding.RSC advances · 2025Article
- Hydrogel-Based Continuum Soft Robots.Gels (Basel, Switzerland) · 2025Review
- Wearable and Implantable Soft Robots.Chemical reviews · 2024Review
- 4D Printing of Shape-Morphing Liquid Crystal Elastomers.Chem & bio engineering · 2024Review
- A soft, self-sensing tensile valve for perceptive soft robots.Nature communications · 2023Article
- Programmable soft valves for digital and analog control.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Will microfluidics enable functionally integrated biohybrid robots?Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- An introductory review of robotically assisted surgical systems.The international journal of medical robotics + computer assisted surgery : MRCAS · 2022Review
- A novel air microfluidics-enabled soft robotic sleeve: Toward realizing innovative lymphedema treatment.Biomicrofluidics · 2022Article
- Fully 3D-printed soft robots with integrated fluidic circuitry.Science advances · 2021Article
- Toward Application of Liquid Crystalline Elastomer for Smart Robotics: State of the Art and Challenges.Polymers · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Soft robotics has gone through a decade of tremendous progress in advancing both fundamentals and technologies. It has also seen a wide range of applications such as surgery assistance, handling of delicate foods, and wearable assistive systems driven by its soft nature that is more human friendly than traditional hard robotics. The rapid growth of soft robotics introduces many challenges, which vary with applications. Common challenges include the availability of soft materials for realizing different functions and the precision and speed of control required for actuation. In the context of wearable systems, miniaturization appears to be an additional hurdle to be overcome in order to develop truly impactful systems with a high user acceptance. Microfluidics as a field of research has gone through more than two decades of intense and focused research resulting in many fundamental theories and practical tools that have the potentials to be applied synergistically to soft robotics toward miniaturization. This perspective aims to introduce the potential synergy between microfluidics and soft robotics as a research topic and suggest future directions that could leverage the advantages of the two fields.
Identifiers
What OpenQuestion holds
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.