Towards Estimating the Stiffness of Soft Fruits using a Piezoresistive Tactile Sensor and Neural Network Schemes

Frank Efe Erukainure, Victor Parque, Mohsen A. Hassan, Ahmed M.R. Fathelbab

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Measuring the ripeness of fruits is one of the key challenges to enable optimal and just-in-time strategies across the fruit supply chain. In this paper, we study the performance of a tactile sensor to estimate the ground truth of the stiffness of fruits, with kiwifruit as a case study. Our sensor configuration is based on a three-beam cantilever arrangement with piezoresistive elements, enabling the stable acquisition of sensor readings over independent trials. Our estimation scheme is based on the com-pact feed-forward neural networks, allowing us to find effective nonlinear relationships between instantaneous sensor readings and the ground truth of stiffness of fruits. Our experiments using several kiwifruit specimens show the competitive performance frontiers of stiffness approximation using 25 compact feed-forward neural networks, converging to MSE loss at 10-5 across training-validation-testing in most of the cases, and the utmost predictive performance of a pyramidal class of feed-forward architectures. Our results pinpoint the potential to realize robust fruit ripeness measurement with intelligent tactile sensors.

Original languageEnglish
Title of host publication2022 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages290-295
Number of pages6
ISBN (Electronic)9781665413084
DOIs
Publication statusPublished - 2022
Event2022 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2022 - Sapporo, Japan
Duration: 2022 Jul 112022 Jul 15

Publication series

NameIEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM
Volume2022-July

Conference

Conference2022 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2022
Country/TerritoryJapan
CitySapporo
Period22/7/1122/7/15

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Computer Science Applications
  • Software

Fingerprint

Dive into the research topics of 'Towards Estimating the Stiffness of Soft Fruits using a Piezoresistive Tactile Sensor and Neural Network Schemes'. Together they form a unique fingerprint.

Cite this