Development of a soft PZT based tactile sensor array for force localization

Acer, Merve; Yıldız, Adnan; Bazzaz, Farshad Hamedi

doi:10.1109/icat.2017.8171644

Cited by 7 publications

(3 citation statements)

References 22 publications

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“…The temperature sensing range and resolution can be customized by using different TLC ink. Furthermore, compared to electrical-based (resistive, capacitive sensing) and magnetic field-based sensing tactile sensing technologies [23,24], the proposed method offers advantage of higher spatial resolutions and is resilient to electromagnetic field disturbance. Besides the temperature sensing ability, our design simplifies the lighting condition for deformation 3D reconstruction compared to Gelsight [14], and does not requires the micro pins on the underside of soft membrane as used in the Tactip sensor family [15], facilitating the fabrications and miniaturization.…”

Section: Conclusion and Discussionmentioning

confidence: 99%

A Vision-Based Soft Somatosensory System for Distributed Pressure and Temperature Sensing

Chen

Lindenroth

et al. 2020

IEEE Robot. Autom. Lett.

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Section: Conclusion and Discussionmentioning

confidence: 99%

A Vision-Based Soft Somatosensory System for Distributed Pressure and Temperature Sensing

Chen

Lindenroth

et al. 2020

IEEE Robot. Autom. Lett.

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“…According to the linear theory, piezoelectric materials possess a linear relationship at the lower electric field and low mechanical stress. In the prosthetic application, the range of mechanical stress and applied field is within that limited range (19). The applied force (𝐹 𝑐𝑜𝑛𝑡𝑎𝑐𝑡 ) develops a proportionate amount of deformation (d) which is related with a stiffness constant (k) as shown in Eqn.…”

Section: Analytical Modeling Of the Sensor Structurementioning

confidence: 99%

Design Optimization of a PVDF based SOI-MOSFET Touch Sensor by Surface Potential based Analytical Model

Rajan

2022

Preprint

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Analytical model of a single taxel silicon on insulator (SOI) MOSFET based touch sensor is presented. The proposed sensor has a piezoelectric polymer layer integrated into the transistor structure. A mathematical model of the channel surface potential is developed, and the device performance is evaluated for various contact forces. The surface potential-based model aids in the systematic design of model parameters and the analysis of overall sensor performance. The simulation and analytical results were compared and found to be highly compatible. The model was validated using the software MATLAB, 2D COMSOL Multiphysics, and Silvaco ATLAS. The article presents a detailed analysis of the effect of design parameters of MOSFET on the variation of surface potential of the proposed sensor and the optimal model developed had a maximum channel potential variation of 248 mV/N. As a result, the developed analytical model guides designing SOI-MOSFET parameters for touch sensing in prosthetic devices.

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“…Xu et al [24] proposed a novel three-dimensional force flexible tactile sensor made through "overall injection molding" technique. Acer et al [25] proposed a silicone-embedded, low-profile piezoelectric sensor array that is suitable for applications where tactile sensing and force localization are needed. Chen et al [26] proposed a pressure sensor with nanowires/graphene heterostructures for static measurements based on the synergistic mechanisms between strain-induced polarization charges in piezoelectric nanowires, which shows great potential in the application of the electronic skin.…”

Section: Introductionmentioning

confidence: 99%

Modeling Analysis and 3D Force Prediction of a Novel Piezoelectric Tactile Sensor

Wang

Yang

et al. 2021

Journal of Sensors

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To measure three-dimensional (3D) forces efficiently and improve the sensitivity of tactile sensors, a novel piezoelectric tactile sensor with a “sandwich” structure is proposed in this paper. An array of circular truncated cone-shaped sensitive units made of polyvinylidene fluoride (PVDF) is sandwiched between two flexible substrates of polydimethylsiloxane (PDMS). Based on the piezoelectric properties of the PVD F sensitive units, finite element modelling and analysis are carried out for the sensor. The relation between the force and the voltage of the sensitive unit is obtained, and a tactile perception model is established. The model can distinguish the sliding direction and identify the material of the slider loaded on the sensor. A backpropagation neural network (BPNN) algorithm is built to predict the 3D forces applied on the tactile sensor model, and the 3D forces are decoupled from the voltages of the sensitive units. The BPNN is further optimized by a genetic algorithm (GA) to improve the accuracy of the 3D force prediction, and fairly good prediction results are obtained. The experimental results show that the novel tactile sensor model can effectively predict the 3D forces, and the BPNN model optimized by the GA can predict the 3D forces with much higher precision, which also improves the intelligence of the sensor. All the prediction results indicate that the BPNN algorithm has very efficient performance in 3D force prediction for the piezoelectric tactile sensor.

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Development of a soft PZT based tactile sensor array for force localization

Cited by 7 publications

References 22 publications

A Vision-Based Soft Somatosensory System for Distributed Pressure and Temperature Sensing

A Vision-Based Soft Somatosensory System for Distributed Pressure and Temperature Sensing

Design Optimization of a PVDF based SOI-MOSFET Touch Sensor by Surface Potential based Analytical Model

Modeling Analysis and 3D Force Prediction of a Novel Piezoelectric Tactile Sensor

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