ReviewFrontiers in robotics and AI2020
Artificial Venus Flytraps: A Research Review and Outlook on Their Importance for Novel Bioinspired Materials Systems.
Review in Frontiers in robotics and AI, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed.
- Inverse design of bistable composite laminates with switching tunneling method for global optimization.Communications engineering · 2024Article
- Buckling-induced sound production in the aeroelastic tymbals ofProceedings of the National Academy of Sciences of the United States of America · 2024Article
- Biomimetic Venus Flytrap Structures Using Smart Composites: A Review.Materials (Basel, Switzerland) · 2023Review
- Design of a Bistable Artificial Venus Flytrap Actuated by Low Pressure with Larger Capture Range and Faster Responsiveness.Biomimetics (Basel, Switzerland) · 2023Article
- Early career scientists converse on the future of soft robotics.Frontiers in robotics and AI · 2023Article
- Smooth or with a Snap! Biomechanics of Trap Reopening in the Venus Flytrap (Dionaea muscipula).Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022Article
- Novel Motion Sequences in Plant-Inspired Robotics: Combining Inspirations from Snap-Trapping in Two Plant Species into an Artificial Venus Flytrap Demonstrator.Biomimetics (Basel, Switzerland) · 2022Article
- Spontaneous and rapid electro-actuated snapping of constrained polyelectrolyte hydrogels.Science advances · 2022Article
- Benchmarking organic electrochemical transistors for plant electrophysiology.Frontiers in plant science · 2022Article
- Signaling and transport processes related to the carnivorous lifestyle of plants living on nutrient-poor soil.Plant physiology · 2021Review
- The Bio-Engineering Approach for Plant Investigations and Growing Robots. A Mini-Review.Frontiers in robotics and AI · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Bioinspired and biomimetic soft machines rely on functions and working principles that have been abstracted from biology but that have evolved over 3.5 billion years. So far, few examples from the huge pool of natural models have been examined and transferred to technical applications. Like living organisms, subsequent generations of soft machines will autonomously respond, sense, and adapt to the environment. Plants as concept generators remain relatively unexplored in biomimetic approaches to robotics and related technologies, despite being able to grow, and continuously adapt in response to environmental stimuli. In this research review, we highlight recent developments in plant-inspired soft machine systems based on movement principles. We focus on inspirations taken from fast active movements in the carnivorous Venus flytrap (
Indexed as
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.