Evidence map›Paper›PMID 37761160›Full record

ReviewFoods (Basel, Switzerland)2023

Research Progress on Low Damage Grasping of Fruit, Vegetable and Meat Raw Materials.

Zeyu Xu, Wenbo Shi, Dianbo Zhao, Ke Li, Junguang Li, Junyi Dong, Yu Han, Jiansheng Zhao, Yanhong Bai

Abstract readReview
In one paragraph

Review in Foods (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Zeyu XuCollege of Food and Bioengineering, Zhengzhou University of Light Industry, Zhengzhou 450000, China.ORCID 0000-0002-5432-0515
Wenbo ShiCollege of Food and Bioengineering, Zhengzhou University of Light Industry, Zhengzhou 450000, China.
Dianbo ZhaoCollege of Food and Bioengineering, Zhengzhou University of Light Industry, Zhengzhou 450000, China.
Ke LiCollege of Food and Bioengineering, Zhengzhou University of Light Industry, Zhengzhou 450000, China.
Junguang LiCollege of Food and Bioengineering, Zhengzhou University of Light Industry, Zhengzhou 450000, China.
Junyi DongCollege of Food and Bioengineering, Zhengzhou University of Light Industry, Zhengzhou 450000, China.
Yu HanCollege of Food and Bioengineering, Zhengzhou University of Light Industry, Zhengzhou 450000, China.
Jiansheng ZhaoHenan Shuanghui Investment & Development Co., Ltd., Luohe 462000, China.
Yanhong BaiCollege of Food and Bioengineering, Zhengzhou University of Light Industry, Zhengzhou 450000, China.ORCID 0000-0002-2074-0351

Funding

the doctoral program of Zhengzhou University of Light Industry No. 2020BSJJ016the major science and technology project in Henan province No. 221100110500
6 · The paper itself

Abstract

The sorting and processing of food raw materials is an important step in the food production process, and the quality of the sorting operation can directly or indirectly affect the quality of the product. In order to improve production efficiency and reduce damage to food raw materials, some food production enterprises currently use robots for sorting operations of food raw materials. In the process of robot grasping, some food raw materials such as fruits, vegetables and meat have a soft appearance, complex and changeable shape, and are easily damaged by the robot gripper. Therefore, higher requirements have been put forward for robot grippers, and the research and development of robot grippers that can reduce damage to food raw materials and ensure stable grasping has been a major focus. In addition, in order to grasp food raw materials with various shapes and sizes with low damage, a variety of sensors and control strategies are required. Based on this, this paper summarizes the low damage grasp principle and characteristics of electric grippers, pneumatic grippers, vacuum grippers and magnetic grippers used in automated sorting production lines of fruit, vegetable and meat products, as well as gripper design methods to reduce grasp damage. Then, a grasping control strategy based on visual sensors and tactile sensors was introduced. Finally, the challenges and potential future trends faced by food robot grippers were summarized.

Indexed as

control strategiesfood raw materialslow damage graspingrobot gripper

Identifiers

PMID37761160
PMCPMC10528682

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.