Evidence map›Paper›PMID 39727830›Full record

ArticleBiosensors2024

Biomimetic Plant-Root-Inspired Robotic Sensor System.

Margarita Alvira, Alessio Mondini, Gian Luigi Puleo, Islam Bogachan Tahirbegi, Lucia Beccai, Ali Sadeghi, Barbara Mazzolai, Mònica Mir, Josep Samitier

Abstract read
In one paragraph

Article in Biosensors, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Tip-Growing Robots: Design, Theory, Application.IEEE transactions on robotics : a publication of the IEEE Robotics and Automation Society · 2025
    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

9 authors.

Margarita AlviraNanobioengineering Group, Institute for Bioengineering of Catalonia (IBEC), Barcelona Institute of Science and Technology (BIST), 12 Baldiri Reixac 15-21, 08028 Barcelona, Spain.
Alessio MondiniBioinspired Soft Robotics Laboratory, Istituto Italiano di Tecnologia, 16163 Genova, Italy.ORCID 0000-0002-2303-2844
Gian Luigi PuleoBioinspired Soft Robotics Laboratory, Istituto Italiano di Tecnologia, 16163 Genova, Italy.
Islam Bogachan TahirbegiNanobioengineering Group, Institute for Bioengineering of Catalonia (IBEC), Barcelona Institute of Science and Technology (BIST), 12 Baldiri Reixac 15-21, 08028 Barcelona, Spain.
Lucia BeccaiSoft BioRobotics Perception Lab, Istituto Italiano di Tecnologia, 16163 Genova, Italy.ORCID 0000-0002-8754-5155
Ali SadeghiBioinspired Soft Robotics Laboratory, Istituto Italiano di Tecnologia, 16163 Genova, Italy.ORCID 0000-0003-2987-9541
Barbara MazzolaiBioinspired Soft Robotics Laboratory, Istituto Italiano di Tecnologia, 16163 Genova, Italy.
Mònica MirNanobioengineering Group, Institute for Bioengineering of Catalonia (IBEC), Barcelona Institute of Science and Technology (BIST), 12 Baldiri Reixac 15-21, 08028 Barcelona, Spain.ORCID 0000-0002-1490-8373
Josep SamitierNanobioengineering Group, Institute for Bioengineering of Catalonia (IBEC), Barcelona Institute of Science and Technology (BIST), 12 Baldiri Reixac 15-21, 08028 Barcelona, Spain.ORCID 0000-0002-1140-3679

Funding

Department of Innovation, Universities, and Enterprise of the Generalitat de Catalunya 2017 SGR 1079)european comission STREP FP7-n. 293431Networking Biomedical Research Center (CIBER) CB06/01/0055
6 · The paper itself

Abstract

There are many examples in nature in which the ability to detect is combined with decision-making, such as the basic survival instinct of plants and animals to search for food. We can technically translate this innate function via the use of robotics with integrated sensors and artificial intelligence. However, the integration of sensing capabilities into robotics has traditionally been neglected due to the significant associated technical challenges. Inspired by plant-root chemotropism, we present a miniaturized electrochemical array integrated into a robotic tip, embedding a customized micro-potentiometer. The system contains solid-state sensors fitted to the tip of the robotic root to three-dimensionally monitor potassium and pH changes in a moist, soil-like environment, providing an integrated electronic readout. The sensors measure a range of parameters compatible with realistic soil conditions. The sensors' response can trigger the movement of the robotic root with a control algorithm inspired by the behavior of the plant root that determines the optimal path toward root growth, simulating the decision-making process of a plant. This nature-inspired technology may lead, in the future, to the realization of robotic devices with the potential for monitoring and exploring the soil autonomously.

Indexed as

BiomimeticsBiosensing TechniquesPlant RootsRoboticsAlgorithmsSoilSoilartificial intelligencebiomimeticchemical sensorion-selective electrode (ISE)pHplant rootspotassiumroboticssoil detectiontropism

Identifiers

PMID39727830
PMCPMC11674130

What OpenQuestion holds

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LicenceCC BY
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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.