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A finite element simulation of the mechanical behaviour of woven textile materials at the scale of individual fibers is proposed in this paper. The aim of the simulation is to understand and identify phenomena involved at different scales…

Soft Condensed Matter · Physics 2008-12-18 Damien Durville

Graph-based semi-supervised learning has been shown to be one of the most effective approaches for classification tasks from a wide range of domains, such as image classification and text classification, as they can exploit the connectivity…

Computer Vision and Pattern Recognition · Computer Science 2020-04-09 Wanyu Lin , Zhaolin Gao , Baochun Li

Perceiving the environment through touch is important for robots to reach in cluttered environments, but devising a way to sense without disturbing objects is challenging. This work presents the design and modelling of whisker-inspired…

Robotics · Computer Science 2022-10-25 Michael A. Lin , Emilio Reyes , Jeannette Bohg , Mark R. Cutkosky

Brain-computer interface allows people who have lost their motor skills to control robot limbs based on electroencephalography. Most BCIs are guided only by visual feedback and do not have somatosensory feedback, which is an important…

Human-Computer Interaction · Computer Science 2020-12-14 Myoung-Ki Kim , Jeong-Hyun Cho , Ji-Hoon Jeong

Our sense of touch is essential and permeates in interactions involving natural explorations and affective communications. For instance, we routinely judge the ripeness of fruit at the grocery store, caress the arm of a spouse to offer…

Human-Computer Interaction · Computer Science 2022-10-25 Chang Xu

Humans display the remarkable ability to sense the world through tools and other held objects. For example, we are able to pinpoint impact locations on a held rod and tell apart different textures using a rigid probe. In this work, we…

The human body is punctuated with wide array of sensory systems that provide a high evolutionary advantage by facilitating formation of a detailed picture of the immediate surroundings. The sensors range across a wide spectrum, acquiring…

Physical interaction with textiles, such as assistive dressing, relies on advanced dextreous capabilities. The underlying complexity in textile behavior when being pulled and stretched, is due to both the yarn material properties and the…

Tactile sensors have a wide range of applications, from utilization in robotic grippers to human motion measurement. If tactile sensors could be fabricated and integrated more easily, their applicability would further expand. In this study,…

Robotics · Computer Science 2025-10-15 Shunnosuke Yoshimura , Kento Kawaharazuka , Kei Okada

Generating realistic clothing for virtual applications like online retail and digital avatars is crucial but requires expert knowledge of 3D tools to generating believable simulations. Recently, a number of works proposed to estimate cloth…

Graphics · Computer Science 2026-05-12 Egor Larionov , Marie-Lena Eckert , Katja Wolff , Tuur Stuyck

A general approach to simulate the mechanical behavior of textile materials by taking into account all their constitutive elementary fibers and contacts between them is presented in this paper. A finite element code, based on an implicit…

Materials Science · Physics 2009-12-08 Damien Durville

Soft robotics is an emerging field that yields promising results for tasks that require safe and robust interactions with the environment or with humans, such as grasping, manipulation, and human-robot interaction. Soft robots rely on…

Robotics · Computer Science 2021-11-19 Tessa J. Pannen , Steffen Puhlmann , Oliver Brock

In this study, we propose a technology called the Fashion Intelligence System based on the visual-semantic embedding (VSE) model to quantify abstract and complex expressions unique to fashion, such as ''casual,'' ''adult-casual,'' and…

Computer Vision and Pattern Recognition · Computer Science 2022-11-15 Ryotaro Shimizu , Takuma Nakamura , Masayuki Goto

The sense of touch is essential for reliable mapping between the environment and a robot which interacts physically with objects. Presumably, an artificial tactile skin would facilitate safe interaction of the robots with the environment.…

This paper presents a novel regrasp control policy that makes use of tactile sensing to plan local grasp adjustments. Our approach determines regrasp actions by virtually searching for local transformations of tactile measurements that…

Robotics · Computer Science 2018-10-10 Francois R. Hogan , Maria Bauza , Oleguer Canal , Elliott Donlon , Alberto Rodriguez

Touch is a crucial sensing modality that provides rich information about object properties and interactions with the physical environment. Humans and robots both benefit from using touch to perceive and interact with the surrounding…

While most tactile sensors rely on measuring pressure, insights from continuum mechanics suggest that measuring shear strain provides critical information for tactile sensing. In this work, we introduce an optical tactile sensing principle…

Robot-assisted neurological surgery is receiving growing interest due to the improved dexterity, precision, and control of surgical tools, which results in better patient outcomes. However, such systems often limit surgeons' natural sensory…

Signal Processing · Electrical Eng. & Systems 2025-08-13 Zacharias Chen , Alexa Cristelle Cahilig , Sarah Dias , Prithu Kolar , Ravi Prakash , Patrick J. Codd

We study the touchscreen data as behavioural biometrics. The goal was to create an end-to-end system that can transparently identify users using raw data from mobile devices. The touchscreen biometrics was researched only few times in…

Human-Computer Interaction · Computer Science 2020-06-11 Michał Krzemiński , Javier Hernando

In this paper, we propose an approach to detect incipient slip, i.e. predict slip, by using a high-resolution vision-based tactile sensor, GelSlim. The sensor dynamically captures the tactile imprints of the contact object and their changes…

Robotics · Computer Science 2018-11-01 Siyuan Dong , Daolin Ma , Elliott Donlon , Alberto Rodriguez
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