Soft sensors and actuators for wearable human–machine interfaces

J Park, Y Lee, S Cho, A Choe, J Yeom, YG Ro… - Chemical …, 2024 - ACS Publications
Haptic human–machine interfaces (HHMIs) combine tactile sensation and haptic feedback
to allow humans to interact closely with machines and robots, providing immersive …

Research progress and development trend of bionic harvesting technology

Y Luo, J Li, B Yao, Q Luo, Z Zhu, W Wu - Computers and Electronics in …, 2024 - Elsevier
In the context of natural selection, organisms have evolved various excellent characteristics
that can guide improved design optimization in engineering. Scholars at home and abroad …

GRAB: A dataset of whole-body human gras** of objects

O Taheri, N Ghorbani, MJ Black, D Tzionas - Computer Vision–ECCV …, 2020 - Springer
Training computers to understand, model, and synthesize human gras** requires a rich
dataset containing complex 3D object shapes, detailed contact information, hand pose and …

IMoS: Intent‐Driven Full‐Body Motion Synthesis for Human‐Object Interactions

A Ghosh, R Dabral, V Golyanik… - Computer Graphics …, 2023 - Wiley Online Library
Can we make virtual characters in a scene interact with their surrounding objects through
simple instructions? Is it possible to synthesize such motion plausibly with a diverse set of …

Gras** field: Learning implicit representations for human grasps

K Karunratanakul, J Yang, Y Zhang… - … Conference on 3D …, 2020 - ieeexplore.ieee.org
Robotic gras** of house-hold objects has made remarkable progress in recent years. Yet,
human grasps are still difficult to synthesize realistically. There are several key reasons:(1) …

Goal: Generating 4d whole-body motion for hand-object gras**

O Taheri, V Choutas, MJ Black… - Proceedings of the …, 2022 - openaccess.thecvf.com
Generating digital humans that move realistically has many applications and is widely
studied, but existing methods focus on the major limbs of the body, ignoring the hands and …

G-HOP: generative hand-object prior for interaction reconstruction and grasp synthesis

Y Ye, A Gupta, K Kitani… - Proceedings of the IEEE …, 2024 - openaccess.thecvf.com
We propose G-HOP a denoising diffusion based generative prior for hand-object
interactions that allows modeling both the 3D object and a human hand conditioned on the …

Embodied hands: Modeling and capturing hands and bodies together

J Romero, D Tzionas, MJ Black - arxiv preprint arxiv:2201.02610, 2022 - arxiv.org
Humans move their hands and bodies together to communicate and solve tasks. Capturing
and replicating such coordinated activity is critical for virtual characters that behave …

Contactgen: Generative contact modeling for grasp generation

S Liu, Y Zhou, J Yang, S Gupta… - Proceedings of the …, 2023 - openaccess.thecvf.com
This paper presents a novel object-centric contact representation ContactGen for hand-
object interaction. The ContactGen comprises 3 components: a contact map indicates the …

Cpf: Learning a contact potential field to model the hand-object interaction

L Yang, X Zhan, K Li, W Xu, J Li… - Proceedings of the IEEE …, 2021 - openaccess.thecvf.com
Modeling the hand-object (HO) interaction not only requires estimation of the HO pose, but
also pays attention to the contact due to their interaction. Significant progress has been …