AIMC Topic: Touch Perception

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A neuromorphic robotic electronic skin with active pain and injury perception.

Proceedings of the National Academy of Sciences of the United States of America
Humanoid robots with advanced sensory capabilities are increasingly demanded for empathetic, close-contact interactions with humans. Electronic skin (E-skin) is a key enabling technology for such tactile perception. However, current E-skins are limit...

Predicting human tactile smoothness/roughness perception from multidimensional mechanical properties of synthetic fibers using machine learning.

Scientific reports
Accurately predicting human perception of tactile roughness remains challenging because previous models often used limited mechanical properties, small sample sizes, and insufficient validation methods. To address these limitations, we developed a pr...

Biomimetic Neural Intelligent E-Skin System for Tactile Perception and Robotic Decision-Making.

ACS sensors
The widespread application of electronic skin (e-skin) in human-machine interaction necessitates intelligent and information-rich systems. However, the rapid and efficient deployment of e-skin for high-precision multisensor fusion remains a critical ...

Bio-Inspired spiking tactile sensing system for robust texture recognition across varying scanning speeds in passive touch.

Biological cybernetics
Tactile sensing plays a crucial role in texture recognition, but variations in scanning speed pose a significant challenge for accurate discrimination. Previous studies have demonstrated that scanning speed alters the frequency of texture-induced vib...

A robust and omnidirectional-sensitive electronic antenna for tactile-induced perception.

Nature communications
Skin-like planar tactile sensors have achieved adaptive gripping, in-hand manipulation, and human-machine interaction but remain limited in tasks requiring active environmental interaction and robustness against large mechanical perturbations. Inspir...

DT-Transformer: A Text-Tactile Fusion Network for Object Recognition.

IEEE transactions on haptics
Humans rely on multiple senses to understand their surroundings, and so do robots. Current research in haptic object classification focuses on visual-haptic methods, but faces limitations in performance and dataset size. Unlike images, text does not ...

Object Recognition Using Shape and Texture Tactile Information: A Fusion Network Based on Data Augmentation and Attention Mechanism.

IEEE transactions on haptics
Currently, most tactile-based object recognition algorithms focus on single shape or texture recognition. However, these single attribute-based recognition methods perform poorly when dealing with objects with similar shape or texture characteristics...

Acceptance and Usability of a Soft Robotic, Haptic Feedback Seat for Autonomy Level Transitions in Highly Automated Vehicles.

IEEE transactions on haptics
Fully autonomous vehicles, capable of completing entire end-to-end journeys without the interference of a human driver, will be one of the biggest transforming technologies of the next decades. As the journey towards fully autonomous vehicles progres...

Development of an Intuitive Interface With Haptic Enhancement for Robot-Assisted Endovascular Intervention.

IEEE transactions on haptics
Robot-assisted endovascular intervention has the potential to reduce radiation exposure to surgeons and enhance outcomes of interventions. However, the success and safety of endovascular interventions depend on surgeons' ability to accurately manipul...

Haptiknit: Distributed stiffness knitting for wearable haptics.

Science robotics
Haptic devices typically rely on rigid actuators and bulky power supply systems, limiting wearability. Soft materials improve comfort, but careful distribution of stiffness is required to ground actuation forces and enable load transfer to the skin. ...