This paper focuses on multi-modal Information Perception (IP) for Soft Robotic Hands
(SRHs) using Machine Learning (ML) algorithms. A flexible Optical Fiber-based Curvature …

Various living creatures exhibit embodiment intelligence, which is reflected by a
collaborative interaction of the brain, body, and environment. The actual behavior of …

Haptic feedback has been integrated into Virtual and Augmented Reality, complementing
acoustic and visual information and contributing to an all-round immersive experience in …

Tactile perception is an important modality for dexterous manipulation, but faces unique
challenges in that the sensor has to wrap around the system. Biological skin solves these …

In the wheel hub industry, the quality control of the product surface determines the
subsequent processing, which can be realized through the hub defect image recognition …

With the development of vision and haptic sensor technologies, robots have become
increasingly capable of perceiving their external environment. Although machine vision and …

Advancements in computational capabilities have enabled the implementation of advanced
deep learning models across various domains of knowledge, yet the increasing complexity …

Under the production mode of small-batch and multi-item, the recognition of yarn-dyed fabric
patterns is a crucial task in the textile industry. In this article, an automatic recognition system …

One of the biggest challenges of biomedical research is not having enough human data.
This paper explored Tactile Attributes-based Zero-Shot Learning to recognize human data …

Image super-resolution is an essential technology for improving user quality of experience of
internet videos. As the state-of-the-art deep learning-based super-resolution technology, the …