Autonomously shaping natural climbing plants: A bio-hybrid approach
- Mostafa Wahby,
- Mary Katherine Heinrich,
- Daniel Nicolas Hofstadler,
- Ewald Neufeld,
- Igor Kuksin,
- Payam Zahadat
- University of Lübeck,
- Royal Danish Academy,
- University of Graz,
- Paderborn University,
- University of Stuttgart
Research Output:
Journal Article or Conference Article in Journal
Journal article
Peer-reviewOpen access
Publication Information
Output type
Research Output:
Journal Article or Conference Article in Journal
Journal article
Peer-reviewOriginal language
EnglishJournal (Volume, Issue Number)
Royal Society Open Science (Volume 5, Issue 10)Publication milestones
- Published - 24/10/2018
Publication status
Published - 24/10/2018
ISSN
2054-5703Publication IDs
- ORCID: /0000-0002-4521-7428/work/79158550
- Scopus: 85056747110
Abstract
Plant growth is a self-organized process incorporating distributed sensing, internal communication and morphology dynamics. We develop a distributed mechatronic system that autonomously interacts with natural climbing plants, steering their behaviours to grow user-defined shapes and patterns. Investigating this bio-hybrid system paves the way towards the development of living adaptive structures and grown building components. In this new application domain, challenges include sensing, actuation and the combination of engineering methods and natural plants in the experimental set-up. By triggering behavioural responses in the plants through light spectra stimuli, we use static mechatronic nodes to grow climbing plants in a user-defined pattern at a two-dimensional plane. The experiments show successful growth over periods up to eight weeks. Results of the stimuli-guided experiments are substantially different from the control experiments. Key limitations are the number of repetitions performed and the scale of the systems tested. Recommended future research would investigate the use of similar bio-hybrids to connect construction elements and grow shapes of larger size.
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