[HTML][HTML] Haptic display for virtual reality: progress and challenges

W Dangxiao, G Yuan, L Shiyi, Y Zhang… - Virtual Reality & …, 2019 - Elsevier
Immersion, interaction, and imagination are three features of virtual reality (VR). Existing VR
systems possess fairly realistic visual and auditory feedbacks, and however, are poor with …

[HTML][HTML] The current situation and future prospects of simulators in dental education

Y Li, H Ye, F Ye, Y Liu, L Lv, P Zhang, X Zhang… - Journal of Medical …, 2021 - jmir.org
The application of virtual reality has become increasingly extensive as this technology has
developed. In dental education, virtual reality is mainly used to assist or replace traditional …

Three-dimensional convolutional neural network (3D-CNN) for heterogeneous material homogenization

C Rao, Y Liu - Computational Materials Science, 2020 - Elsevier
Homogenization is a technique commonly used in multiscale computational science and
engineering for predicting collective response of heterogeneous materials and extracting …

[HTML][HTML] Prediction and validation of the transverse mechanical behavior of unidirectional composites considering interfacial debonding through convolutional neural …

DW Kim, JH Lim, S Lee - Composites Part B: Engineering, 2021 - Elsevier
In this work, we propose a prediction model of the transverse mechanical behavior of
unidirectional (UD) composites containing complex microstructure with the help of a …

Multimodal feature-based surface material classification

M Strese, C Schuwerk, A Iepure… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
When a tool is tapped on or dragged over an object surface, vibrations are induced in the
tool, which can be captured using acceleration sensors. The tool-surface interaction …

CNN-based methods for object recognition with high-resolution tactile sensors

JM Gandarias, AJ Garcia-Cerezo… - IEEE Sensors …, 2019 - ieeexplore.ieee.org
Novel high-resolution pressure-sensor arrays allow treating pressure readings as standard
images. Computer vision algorithms and methods such as convolutional neural networks …

Tactile avatar: Tactile sensing system mimicking human tactile cognition

K Kim, M Sim, SH Lim, D Kim, D Lee, K Shin… - Advanced …, 2021 - Wiley Online Library
As a surrogate for human tactile cognition, an artificial tactile perception and cognition
system are proposed to produce smooth/soft and rough tactile sensations by its user's tactile …

Fusion of tactile and visual information in deep learning models for object recognition

RP Babadian, K Faez, M Amiri, E Falotico - Information Fusion, 2023 - Elsevier
Humans use multimodal sensory information to understand the physical properties of their
environment. Intelligent decision-making systems such as the ones used in robotic …

Self-attention based visual-tactile fusion learning for predicting grasp outcomes

S Cui, R Wang, J Wei, J Hu… - IEEE Robotics and …, 2020 - ieeexplore.ieee.org
Predicting whether a particular grasp will succeed is critical to performing stable gras**
and manipulating tasks. Robots need to combine vision and touch as humans do to …

[HTML][HTML] Material classification via embedded RF antenna array and machine learning for intelligent mobile robots

NS Ahmad, P Goh - Alexandria Engineering Journal, 2024 - Elsevier
In this work, we present a novel design for an embedded Radio Frequency (RF) antenna
array that can distinguish various materials by analyzing changes in Received Signal …