A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Filters
Tactile Sensing with a Tendon-Driven Soft Robotic Finger
[article]
2021
arXiv
pre-print
Preserved Fulltext
In this paper, a novel tactile sensing mechanism for soft robotic fingers is proposed. ...
We perform experiments to test the tactile sensing capabilities of the proposed structures, and our results indicate this method is capable of palpating texture and stiffness in both abduction and flexion ...
Running tactile sensing experiments under more textures and varied stiffness may become an extension of this study as well. ...
arXiv:2107.02546v1
fatcat:lxr7222mfjgf3l4baf7ylnrxia
NeuroTac: A Neuromorphic Optical Tactile Sensor applied to Texture Recognition
[article]
2020
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Developing artificial tactile sensing capabilities that rival human touch is a long-term goal in robotics and prosthetics. ...
The performance of the sensor is evaluated on a texture classification task, with four spike coding methods being implemented and compared: Intensive, Spatial, Temporal and Spatiotemporal. ...
An emerging area of biomimetic tactile sensing aims to replicate biological spike-based signalling through event-based systems and study the encoding of tactile information [8] . ...
arXiv:2003.00467v1
fatcat:x54hgh2vf5a4xdqr6uc3xe6cpi
ViTac: Feature Sharing between Vision and Tactile Sensing for Cloth Texture Recognition
[article]
2018
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Other Versions
) to learn a joint latent space for sharing features through vision and tactile sensing. ...
In this paper, addressing for the first time (to the best of our knowledge) texture recognition from tactile images and vision, we propose a new fusion method named Deep Maximum Covariance Analysis (DMCA ...
We take cloth texture recognition as the test arena for our algorithms as it is a perfect scenario for sharing features through vision and tactile sensing: the tactile sensing can perceive very detailed ...
arXiv:1802.07490v2
fatcat:nzuqkk4r3bhexpvs6m5hdvwr5q
Fabric Classification Using a Finger-Shaped Tactile Sensor via Robotic Sliding
2022
Frontiers in Neurorobotics
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Tactile sensing endows the robots to perceive certain physical properties of the object in contact. Robots with tactile perception can classify textures by touching. ...
Interestingly, textures of fine micro-geometry beyond the nominal resolution of the tactile sensors can also be identified through exploratory robotic movements like sliding. ...
Simone Denei (Ermit) in developing the tactile sensor. ...
doi:10.3389/fnbot.2022.808222
pmid:35280844
pmcid:PMC8904726
fatcat:ygcpfff5mvan3d3sr5kuntigyy
ViTac: Feature Sharing Between Vision and Tactile Sensing for Cloth Texture Recognition
2018
2018 IEEE International Conference on Robotics and Automation (ICRA)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
) to learn a joint latent space for sharing features through vision and tactile sensing. ...
In this paper, addressing for the first time (to the best of our knowledge) texture recognition from tactile images and vision, we propose a new fusion method named Deep Maximum Covariance Analysis (DMCA ...
) to learn a joint latent space for sharing features through vision and tactile sensing. ...
doi:10.1109/icra.2018.8460494
dblp:conf/icra/LuoYACF18
fatcat:ab2doven6nhtpniga7d2fyjgma
Reducing Tactile Sim2Real Domain Gaps via Deep Texture Generation Networks
[article]
2021
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
As such, this work has the potential to accelerate the Sim2Real learning for robotic tasks requiring tactile sensing. ...
The former is applied with generated textures learned from real textures in the real tactile images, whereas the latter maintains its appearance as when the sensor is not in contact with any object. ...
classification using tactile images. ...
arXiv:2112.01807v1
fatcat:knphlgwfdjgehoa7covowikfi4
Towards Neurohaptics: Brain-Computer Interfaces for Decoding Intuitive Sense of Touch
[article]
2020
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Other Versions
Through the experiment, we collected the electroencephalogram (EEG) signals with respect to four different texture objects. ...
Seven subjects were recruited for the experiment and evaluated classification performances using machine learning and deep learning approaches. ...
The haptic sensation is an electrical sense of objects and surfaces felt through the nerves in the skin of the fingers. ...
arXiv:2012.06753v2
fatcat:2lhxaqv4bnat7kmlk27gfahaoa
Fingerprint‐Enhanced Capacitive‐Piezoelectric Flexible Sensing Skin to Discriminate Static and Dynamic Tactile Stimuli
2019
Advanced Intelligent Systems
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
tactile stimuli including static and dynamic pressures and textures is presented. ...
With the capability of performing a real-time binary naturalistic texture classification with a maximum accuracy of 99.45%, the presented bioinspired skin finds applications in robotics, prosthesis, wearable ...
Keywords capacitive-piezoelectric sensors, eSkins, spiking neural networks, tactile sensors, tempotron classifier ...
doi:10.1002/aisy.201900051
fatcat:zzevaszxdzhahn47pjesmhsble
Seeing Through your Skin: Recognizing Objects with a Novel Visuotactile Sensor
[article]
2020
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Note that this fulltext copy is not of the "primary" version of this work. The version it corresponds to is:
2020 pre-print arXiv:2011.09552v1 fatcat:756l47e24zff5czcs55evehm5m
This sensor, named the See-Through-your-Skin sensor (STS), is designed to provide rich multi-modal sensing of contact surfaces. ...
We validate the ability of the sensor to classify household objects, recognize fine textures, and infer their physical properties both through numerical simulations and experiments with a smart countertop ...
The main contributions of this paper are: • Design of a novel visuotactile sensor, the See-Through-your-Skin (STS) sensor, that combines vision-based sensing with tactile feedback. ...
arXiv:2011.09552v2
fatcat:wnl3s5a5gbcjzizudjlza3rw7a
Spatio-temporal encoding improves neuromorphic tactile texture classification
[article]
2021
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Other Versions
We found that this approach greatly improved texture classification in comparison to use of individual mechanoreceptor response alone. ...
We study the impact of information pooling across artificial mechanoreceptors on classification performance of spatially non-uniform naturalistic textures. ...
In this work, we focus on natural texture classification, an important surface property estimated through touch and important for myriad of tactile tasks like object recognition. ...
arXiv:2010.14184v2
fatcat:5o4mi23vzjgefaj4y6o57q5t4y
Design of a Biomimetic Tactile Sensor for Material Classification
[article]
2022
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
sensing for texture classification, material inspection, and object recognition. ...
The presented sensor is capable of detecting high-resolution magnetic field data through the Hall effect and creating high-dimensional time-frequency domain features for material texture classification ...
Tactile sensing provides environmental and material information including surface texture, weight, thermal conductivity, and geometry [1] . ...
arXiv:2203.15941v1
fatcat:44vtzjaazbhgplv45zcttbuloe
Texture classification using a polymer-based MEMS tactile sensor
2005
Journal of Micromechanics and Microengineering
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2006; you can also visit the original URL.
The file type is application/pdf.
We classify surface textures using a polymer-based microelectromechanical systems (MEMS) tactile sensor array and a robust statistical approach. ...
Texture classification is achieved by using a maximum likelihood decision rule that optimally classifies patterns in the presence of noisy signal to cope with texture variation and random noise. ...
Through the use of a simple texture set and small array size, we have shown that low-cost, low-sensitivity and low-complexity sensing arrays can be used to identify textures. ...
doi:10.1088/0960-1317/15/5/003
fatcat:zzm7hxvyjnaxdkis6af3izgydy
Tactile Perception based on Injected Vibration in Soft Sensor
[article]
2021
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Soft tactile sensors are deformed by the contact state, and the touched objects' shape or texture should change the characteristics of the vibration propagation. ...
Our approach resulted in 70% accuracy for the grit size classification and 99% accuracy for the gap width classification. ...
The pressure and vibration generated at the contact surface can be transmitted as pressure through the fluid and sensed by the internal hydroacoustic pressure sensor [22] , [24] . ...
arXiv:2104.09790v1
fatcat:6jdcdki66fcd7k5p2axxdqmh6m
The Innovative Application of Surface Texture in Fashion and Textile Design
2013
Fashion & Textile Research Journal
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
The latest feature of surface texture in fashion and textile design is identified to establish a new classification of surface texture with five groups and technical suggestions. ...
Rather than the surface quality of fabrics, surface texture in fashion design creates its identity through a manipulation of materials-an application that tends to be primarily for visual effects without ...
In terms of visual aesthetics, a new classification of surface texture is established through seeking the actuality and evolution of surface texture. ...
doi:10.5805/sfti.2013.15.3.336
fatcat:pvu6i7phj5cihhp66ng2scjny4
Whiskered texture classification with uncertain contact pose geometry
2012
2012 IEEE/RSJ International Conference on Intelligent Robots and Systems
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Whisker based tactile sensing has recently been shown to be a promising approach for mobile robots, using simple sensors and many classification approaches. ...
Tactile sensing can be an important source of information for robots, and texture discrimination in particular is useful in object recognition and terrain identification. ...
Whisker based tactile sensing has recently been shown to be a promising approach for mobile robots, using simple sensors and many classification approaches. ...
doi:10.1109/iros.2012.6385634
dblp:conf/iros/EvansPLPF12
fatcat:j66zflmw7newrpmpv5wvjtuw64
« Previous
Showing results 1 — 15 out of 5,248 results