Evidence map›Paper›PMID 33501333›Full record

ReviewFrontiers in robotics and AI2020

The Bio-Engineering Approach for Plant Investigations and Growing Robots. A Mini-Review.

Barbara Mazzolai, Francesca Tramacere, Isabella Fiorello, Laura Margheri

Abstract readReview
In one paragraph

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 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Bioinspired Drilling for Extraterrestrial Applications.Biomimetics (Basel, Switzerland) · 2025
    Review
  5. Tip-Growing Robots: Design, Theory, Application.IEEE transactions on robotics : a publication of the IEEE Robotics and Automation Society · 2025
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Enacting Plant-Inspired Robotics.Frontiers in neurorobotics · 2021
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Barbara MazzolaiCenter for Micro-BioRobotics, Istituto Italiano di Tecnologia, Pontedera, Italy.
Francesca TramacereCenter for Micro-BioRobotics, Istituto Italiano di Tecnologia, Pontedera, Italy.
Isabella FiorelloCenter for Micro-BioRobotics, Istituto Italiano di Tecnologia, Pontedera, Italy.
Laura MargheriCenter for Micro-BioRobotics, Istituto Italiano di Tecnologia, Pontedera, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It has been 10 years since the publication of the first article looking at plants as a biomechatronic system and as model for robotics. Now, roboticists have started to look at plants differently and consider them as a model in the field of bioinspired robotics. Despite plants have been seen traditionally as passive entities, in reality they are able to grow, move, sense, and communicate. These features make plants an exceptional example of morphological computation - with probably the highest level of adaptability among all living beings. They are a unique model to design robots that can act in- and adapt to- unstructured, extreme, and dynamically changing environments exposed to sudden or long-term events. Although plant-inspired robotics is still a relatively new field, it has triggered the concept of growing robotics: an emerging area in which systems are designed to create their own body, adapt their morphology, and explore different environments. There is a reciprocal interest between biology and robotics: plants represent an excellent source of inspiration for achieving new robotic abilities, and engineering tools can be used to reveal new biological information. This way, a bidirectional biology-robotics strategy provides mutual benefits for both disciplines. This mini-review offers a brief overview of the fundamental aspects related to a

Indexed as

bioengineeringbioinspired roboticsgrowing robotsplants biologysmart materialssoft robotics

Identifiers

PMID33501333
PMCPMC7806088

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.