Hardness Recognition of Fruit and Vegetable Based on Robot Tactile Perception-Reference-Cited by-同舟云学术

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Hardness Recognition of Fruit and Vegetable Based on Robot Tactile Perception

Published:2023-08-11 Issue: Volume: Page:
ISSN:
Container-title:2023 2nd International Conference on Robotics, Artificial Intelligence and Intelligent Control (RAIIC)
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Author:

Lan Huijuan¹,Zhang Dunfeng²,Wei Jingyi¹,Liang Shuang³

Affiliation:

1. Southwest University of Science and Technology,School of Information Engineering,Mianyang,China

2. Southwest University of Science and Technology,Robot Technology Used for Special Environment Key Laboratory of Sichuan Province,Mianyang,China

3. School of Northwestern Polytechnical University,Xian,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10280771/10280779/10281075.pdf?arnumber=10281075

Reference18 articles.

1. Shape-independent hardness estimation using deep learning and a GelSight tactile sensor

2. A Polymeric Piezoelectric Tactile Sensor Fabricated by 3D Printing and Laser Micromachining for Hardness Differentiation during Palpation

3. Multi-IMF Sample Entropy Features with Machine Learning for Surface Texture Recognition Based on Robot Tactile Perception

4. Robotic Tactile Perception of Object Properties: A Review[J];shan;Mechatronics,2017

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