ArticleSensors (Basel, Switzerland)2022
Large-Area and Low-Cost Force/Tactile Capacitive Sensor for Soft Robotic Applications.
Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- System-Level Design and Integration of Dexterous Robotic Hands for Complex Manipulation.Research (Washington, D.C.) · 2026Review
- Advances and Applications of Bionic Design and Functional Integration in Underwater Soft Grippers.Polymers · 2025Review
- Posture Estimation from Tactile Signals Using a Masked Forward Diffusion Model.Sensors (Basel, Switzerland) · 2025Article
- A Soft Robot Tactile Finger Using Oxidation-Reduction Graphene-Polyurethane Conductive Sponge.Micromachines · 2024Article
- Active learning strategies for robotic tactile texture recognition tasks.Frontiers in robotics and AI · 2024Article
- Implementation of Field-Programmable Gate Array Platform for Object Classification Tasks Using Spike-Based Backpropagated Deep Convolutional Spiking Neural Networks.Micromachines · 2023Article
- Development of MWCNT/Magnetite Flexible Triboelectric Sensors by Magnetic Patterning.Polymers · 2023Article
- Multi-Transduction-Mechanism Technology, an Emerging Approach to Enhance Sensor Performance.Sensors (Basel, Switzerland) · 2023Review
- Effects of Sensing Tactile Arrays, Shear Force, and Proprioception of Robot on Texture Recognition.Sensors (Basel, Switzerland) · 2023Article
- Development of Piezoelectric Silk Sensors Doped with Graphene for Biosensing by Near-Field Electrospinning.Sensors (Basel, Switzerland) · 2022Article
- Robot-Based Calibration Procedure for Graphene Electronic Skin.Sensors (Basel, Switzerland) · 2022Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.