Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
Large-Area and Low-Cost Force/Tactile Capacitive Sensor for Soft Robotic Applications
by
Corrales-Ramon, Juan-Antonio
, Chapelle, Frédéric
, Lapusta, Yuri
, Mezouar, Youcef
, Pagoli, Amir
in
Automatic
/ Back propagation
/ Calibration
/ capacitive sensor
/ Control algorithms
/ Electric fields
/ Electrodes
/ Engineering Sciences
/ Fingers
/ Humans
/ Mechanical engineering
/ Mechanics
/ neural network
/ Neural networks
/ Robotics
/ Robots
/ Sensors
/ Silicones
/ Skin
/ soft robot
/ soft sensor
/ Strain gauges
/ tactile sensor
/ Touch
/ Touch Perception
2022
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Large-Area and Low-Cost Force/Tactile Capacitive Sensor for Soft Robotic Applications
by
Corrales-Ramon, Juan-Antonio
, Chapelle, Frédéric
, Lapusta, Yuri
, Mezouar, Youcef
, Pagoli, Amir
in
Automatic
/ Back propagation
/ Calibration
/ capacitive sensor
/ Control algorithms
/ Electric fields
/ Electrodes
/ Engineering Sciences
/ Fingers
/ Humans
/ Mechanical engineering
/ Mechanics
/ neural network
/ Neural networks
/ Robotics
/ Robots
/ Sensors
/ Silicones
/ Skin
/ soft robot
/ soft sensor
/ Strain gauges
/ tactile sensor
/ Touch
/ Touch Perception
2022
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Large-Area and Low-Cost Force/Tactile Capacitive Sensor for Soft Robotic Applications
by
Corrales-Ramon, Juan-Antonio
, Chapelle, Frédéric
, Lapusta, Yuri
, Mezouar, Youcef
, Pagoli, Amir
in
Automatic
/ Back propagation
/ Calibration
/ capacitive sensor
/ Control algorithms
/ Electric fields
/ Electrodes
/ Engineering Sciences
/ Fingers
/ Humans
/ Mechanical engineering
/ Mechanics
/ neural network
/ Neural networks
/ Robotics
/ Robots
/ Sensors
/ Silicones
/ Skin
/ soft robot
/ soft sensor
/ Strain gauges
/ tactile sensor
/ Touch
/ Touch Perception
2022
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Large-Area and Low-Cost Force/Tactile Capacitive Sensor for Soft Robotic Applications
Journal Article
Large-Area and Low-Cost Force/Tactile Capacitive Sensor for Soft Robotic Applications
2022
Request Book From Autostore
and Choose the Collection Method
Overview
This paper presents a novel design and development of a low-cost and multi-touch sensor based on capacitive variations. This new sensor is very flexible and easy to fabricate, making it an appropriate choice for soft robot applications. Materials (conductive ink, silicone, and control boards) used in this sensor are inexpensive and easily found in the market. The proposed sensor is made of a wafer of different layers, silicone layers with electrically conductive ink, and a pressure-sensitive conductive paper sheet. Previous approaches like e-skin can measure the contact point or pressure of conductive objects like the human body or finger, while the proposed design enables the sensor to detect the object’s contact point and the applied force without considering the material conductivity of the object. The sensor can detect five multi-touch points at the same time. A neural network architecture is used to calibrate the applied force with acceptable accuracy in the presence of noise, variation in gains, and non-linearity. The force measured in real time by a commercial precise force sensor (ATI) is mapped with the produced voltage obtained by changing the layers’ capacitance between two electrode layers. Finally, the soft robot gripper embedding the suggested tactile sensor is utilized to grasp an object with position and force feedback signals.
This website uses cookies to ensure you get the best experience on our website.