Evidence map›Paper›PMID 33920353›Full record

ReviewSensors (Basel, Switzerland)2021

Soft Grippers for Automatic Crop Harvesting: A Review.

Eduardo Navas, Roemi Fernández, Delia Sepúlveda, Manuel Armada, Pablo Gonzalez-de-Santos

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Toward Autonomous Self-Healing in Soft Robotics: A Review and Perspective for Future Research.Advanced intelligent systems (Weinheim an der Bergstrasse, Germany) · 2025
    Review
  7. Article
  8. Gripping Success Metric for Robotic Fruit Harvesting.Sensors (Basel, Switzerland) · 2024
    Article
  9. Article
  10. Review
  11. Sensors and Robotics for Digital Agriculture.Sensors (Basel, Switzerland) · 2023
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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

5 authors.

Eduardo NavasCentre for Automation and Robotics, UPM-CSIC, Carretera CAMPO-REAL Km 0.2, Arganda del Rey, 28500 Madrid, Spain.ORCID 0000-0002-4314-4448
Roemi FernándezCentre for Automation and Robotics, UPM-CSIC, Carretera CAMPO-REAL Km 0.2, Arganda del Rey, 28500 Madrid, Spain.ORCID 0000-0003-0552-5407
Delia SepúlvedaCentre for Automation and Robotics, UPM-CSIC, Carretera CAMPO-REAL Km 0.2, Arganda del Rey, 28500 Madrid, Spain.ORCID 0000-0003-3920-9648
Manuel ArmadaCentre for Automation and Robotics, UPM-CSIC, Carretera CAMPO-REAL Km 0.2, Arganda del Rey, 28500 Madrid, Spain.ORCID 0000-0001-5462-8213
Pablo Gonzalez-de-SantosCentre for Automation and Robotics, UPM-CSIC, Carretera CAMPO-REAL Km 0.2, Arganda del Rey, 28500 Madrid, Spain.ORCID 0000-0002-0219-3155

Funding

HIV INFECTION IN CHILDREN OF IV DRUG ABUSING WOMENR01DA004331 · NIDA · UNIVERSITY OF CALIFORNIA SAN FRANCISCO · PI COWAN, MORTON · 1986 to 1992
–
CSIC 202050E099FEDER/Ministerio de Ciencia, Innovación y Universidades - Agencia Estatal de Investigación DPI2017-84253-C2-1-RProgramas de Actividades I+D en la Comunidad de Madrid and Structural Funds of the EU S2018/NMT-4331
6 · The paper itself

Abstract

Agriculture 4.0 is transforming farming livelihoods thanks to the development and adoption of technologies such as artificial intelligence, the Internet of Things and robotics, traditionally used in other productive sectors. Soft robotics and soft grippers in particular are promising approaches to lead to new solutions in this field due to the need to meet hygiene and manipulation requirements in unstructured environments and in operation with delicate products. This review aims to provide an in-depth look at soft end-effectors for agricultural applications, with a special emphasis on robotic harvesting. To that end, the current state of automatic picking tasks for several crops is analysed, identifying which of them lack automatic solutions, and which methods are commonly used based on the botanical characteristics of the fruits. The latest advances in the design and implementation of soft grippers are also presented and discussed, studying the properties of their materials, their manufacturing processes, the gripping technologies and the proposed control methods. Finally, the challenges that have to be overcome to boost its definitive implementation in the real world are highlighted. Therefore, this review intends to serve as a guide for those researchers working in the field of soft robotics for Agriculture 4.0, and more specifically, in the design of soft grippers for fruit harvesting robots.

Indexed as

agriculture 4.0end-effectorsharvesting processreviewsoft gripperssoft robotics

Identifiers

PMID33920353
PMCPMC8070229

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.