Toward an AI era: advances in electronic skins

X Fu, W Cheng, G Wan, Z Yang, BCK Tee - Chemical Reviews, 2024 - ACS Publications
Electronic skins (e-skins) have seen intense research and rapid development in the past two
decades. To mimic the capabilities of human skin, a multitude of flexible/stretchable sensors …

Adaptive tactile interaction transfer via digitally embroidered smart gloves

Y Luo, C Liu, YJ Lee, J DelPreto, K Wu… - Nature …, 2024 - nature.com
Human-machine interfaces for capturing, conveying, and sharing tactile information across
time and space hold immense potential for healthcare, augmented and virtual reality, human …

Capturing complex hand movements and object interactions using machine learning-powered stretchable smart textile gloves

A Tashakori, Z Jiang, A Servati, S Soltanian… - Nature Machine …, 2024 - nature.com
Accurate real-time tracking of dexterous hand movements has numerous applications in
human–computer interaction, the metaverse, robotics and tele-health. Capturing realistic …

Touch and go: Learning from human-collected vision and touch

F Yang, C Ma, J Zhang, J Zhu, W Yuan… - arxiv preprint arxiv …, 2022 - arxiv.org
The ability to associate touch with sight is essential for tasks that require physically
interacting with objects in the world. We propose a dataset with paired visual and tactile data …

Touch-and-Heal: Data-driven Affective Computing in Tactile Interaction with Robotic Dog

S Guo, L Zhan, Y Cao, C Zheng, G Zhou… - Proceedings of the ACM …, 2023 - dl.acm.org
Affective touch plays an important role in human-robot interaction. However, it is challenging
for robots to perceive various natural human tactile gestures accurately, and feedback …

Tactofind: A tactile only system for object retrieval

S Pai, T Chen, M Tippur, E Adelson… - … on Robotics and …, 2023 - ieeexplore.ieee.org
We study the problem of object retrieval in scenarios where visual sensing is absent, object
shapes are unknown beforehand and objects can move freely, like grabbing objects out of a …

A Survey on Robotic Manipulation of Deformable Objects: Recent Advances, Open Challenges and New Frontiers

F Gu, Y Zhou, Z Wang, S Jiang, B He - arxiv preprint arxiv:2312.10419, 2023 - arxiv.org
Deformable object manipulation (DOM) for robots has a wide range of applications in
various fields such as industrial, service and health care sectors. However, compared to …

Intelligent knee sleeves: a real-time multimodal dataset for 3D lower body motion estimation using smart textile

W Zhang, A Tashakori, Z Jiang… - Advances in …, 2024 - proceedings.neurips.cc
The kinematics of human movements and locomotion are closely linked to the activation and
contractions of muscles. To investigate this, we present a multimodal dataset with …

Learning to Jointly Understand Visual and Tactile Signals

Y Li, Y Du, C Liu, F Williams, M Foshey… - The Twelfth …, 2023 - openreview.net
Modeling and analyzing object and shape has been well studied in the past. However,
manipulation of these complex tools and articulated objects remains difficult for autonomous …

Controllable visual-tactile synthesis

R Gao, W Yuan, JY Zhu - Proceedings of the IEEE/CVF …, 2023 - openaccess.thecvf.com
Deep generative models have various content creation applications such as graphic design,
e-commerce, and virtual try-on. However, current works mainly focus on synthesizing …