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 (Dionaea muscipula) and compare current developments in artificial Venus flytraps with their biological role model. The advantages and disadvantages of current systems are also analyzed and discussed, and a new state-of-the-art autonomous system is derived. Incorporation of the basic structural and functional principles of the Venus flytrap into novel autonomous applications in the field of robotics not only will inspire further plant-inspired biomimetic developments but might also advance contemporary plant-inspired robots, leading to fully autonomous systems utilizing bioinspired working concepts.


    Access

    Download


    Export, share and cite



    Title :

    Artificial Venus flytraps (AVFT): a research review and outlook on their importance for novel bioinspired materials systems


    Contributors:

    Publication date :

    2020-01-01


    Remarks:

    Frontiers in robotics and AI. - 7 (2020) , 75, ISSN: 2296-9144



    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Classification :

    DDC:    570 / 629



    Recent Advances in Nanoscale Bioinspired Materials

    Demirel, M. C. / Cetinkaya, M. / Pena-Francesch, A. et al. | British Library Online Contents | 2015


    Bioinspired Materials for the Chemical Industry

    Fricke, M. / Schadler, V. | British Library Online Contents | 2007


    Bioinspired Artificial Hair Sensors for Flight-by-Feel of Unmanned Aerial Vehicles: A Review

    Hollenbeck, Alex C. / Grandhi, Ramana / Hansen, John H. et al. | AIAA | 2023


    Power systems for Venus surface missions: A review

    Landis, Geoffrey A. | Elsevier | 2020


    Bioinspired Self-Healing of Advanced Composite Materials

    Trask, Richard / Bond, Ian / Williams, Gareth et al. | AIAA | 2008