Visuo-haptic object perception for robots: an overview

N Navarro-Guerrero, S Toprak, J Josifovski… - Autonomous …, 2023 - Springer
The object perception capabilities of humans are impressive, and this becomes even more
evident when trying to develop solutions with a similar proficiency in autonomous robots …

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 …

Improving the generalization ability of deep neural networks for cross-domain visual recognition

J Zheng, C Lu, C Hao, D Chen… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Feature learning with deep neural networks (DNNs) has made remarkable progress in
recent years. However, its data-driven nature makes the collection of labeled training data …

Robotic multifinger gras** state recognition based on adaptive multikernel dictionary learning

P ** analysis of mechanical dexterous grippers tends to flatten a multifinger
tactile series into 1-D, which ignores the force coupling between fingers and their different …

Embodied tactile perception and learning

H Liu, D Guo, F Sun, W Yang… - Brain Science …, 2020 - journals.sagepub.com
Various living creatures exhibit embodiment intelligence, which is reflected by a
collaborative interaction of the brain, body, and environment. The actual behavior of …

Vis2hap: Vision-based haptic rendering by cross-modal generation

G Cao, J Jiang, N Mao, D Bollegala… - … on Robotics and …, 2023 - ieeexplore.ieee.org
To assist robots in teleoperation tasks, haptic rendering which allows human operators
access a virtual touch feeling has been developed in recent years. Most previous haptic …

Partial visual-tactile fused learning for robotic object recognition

T Zhang, Y Cong, J Dong, D Hou - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Currently, visual-tactile fusion learning for robotic object recognition has achieved appealing
performance, due to the fact that visual and tactile data can offer complementary information …

Toward image-to-tactile cross-modal perception for visually impaired people

H Liu, D Guo, X Zhang, W Zhu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
It is still a great challenge for the visually impaired people to perceive their surroundings
from a global perspective, which makes it difficult for them to interact with unfamiliar …

View-based 3-D CAD model retrieval with deep residual networks

C Zhang, G Zhou, H Yang, Z **ao… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
In industrial enterprises, effective retrieval and reuse of three-dimensional (3-D) computer-
aided design (CAD) models could greatly save time and cost in new product development …

Open-environment robotic acoustic perception for object recognition

S **, H Liu, B Wang, F Sun - Frontiers in neurorobotics, 2019 - frontiersin.org
Object recognition in containers is extremely difficult for robots. Dynamic audio signals are
more responsive to an object's internal property. Therefore, we adopt the dynamic contact …