Literature DB >> 33920353

Soft Grippers for Automatic Crop Harvesting: A Review.

Eduardo Navas1, Roemi Fernández1, Delia Sepúlveda1, Manuel Armada1, Pablo Gonzalez-de-Santos1.   

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.

Entities:  

Keywords:  agriculture 4.0; end-effectors; harvesting process; review; soft grippers; soft robotics

Year:  2021        PMID: 33920353     DOI: 10.3390/s21082689

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  5 in total

Review 1.  Bio-Inspired Robots and Structures toward Fostering the Modernization of Agriculture.

Authors:  Maria Kondoyanni; Dimitrios Loukatos; Chrysanthos Maraveas; Christos Drosos; Konstantinos G Arvanitis
Journal:  Biomimetics (Basel)       Date:  2022-05-29

2.  Shape Sensing of Hyper-Redundant Robots Using an AHRS IMU Sensor Network.

Authors:  Ciprian Lapusan; Olimpiu Hancu; Ciprian Rad
Journal:  Sensors (Basel)       Date:  2022-01-04       Impact factor: 3.576

3.  Design, Fabrication and Analysis of Magnetorheological Soft Gripper.

Authors:  Jakub Bernat; Piotr Gajewski; Rafał Kapela; Agnieszka Marcinkowska; Paulina Superczyńska
Journal:  Sensors (Basel)       Date:  2022-04-02       Impact factor: 3.576

4.  The Intelligent Path Planning System of Agricultural Robot via Reinforcement Learning.

Authors:  Jiachen Yang; Jingfei Ni; Yang Li; Jiabao Wen; Desheng Chen
Journal:  Sensors (Basel)       Date:  2022-06-07       Impact factor: 3.847

5.  Design and simulation of a gripper structure of cluster tomato based on manual picking behavior.

Authors:  Yifeng Zheng; Jie Pi; Tiezheng Guo; Lei Xu; Jun Liu; Jie Kong
Journal:  Front Plant Sci       Date:  2022-08-29       Impact factor: 6.627

  5 in total

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