VibroTouch: Active Tactile Sensor for Contact Detection and Force Sensing via Vibrations

Accurate and fast contact detection between a robot manipulator and objects is crucial for safe robot–object and human–robot interactions. Traditional collision detection techniques relied on force–torque sensors and Columb friction cone estimation. However, the strain gauges used in the conventiona...

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Main Authors: Danissa Sandykbayeva, Zhanat Kappassov, Bakhtiyar Orazbayev
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/22/17/6456
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author Danissa Sandykbayeva
Zhanat Kappassov
Bakhtiyar Orazbayev
author_facet Danissa Sandykbayeva
Zhanat Kappassov
Bakhtiyar Orazbayev
author_sort Danissa Sandykbayeva
collection DOAJ
description Accurate and fast contact detection between a robot manipulator and objects is crucial for safe robot–object and human–robot interactions. Traditional collision detection techniques relied on force–torque sensors and Columb friction cone estimation. However, the strain gauges used in the conventional force sensors require low-noise and high-precision electronics to deliver the signal to the final user. The Signal-to-Noise Ratio (SNR) in these devices is still an issue in light contact detection. On the other hand, the Eccentric Rotating Mass (ERM) motors are very sensitive to subtle touch as their vibrating resonant state loses immediately. The vibration, in this case, plays a core role in triggering the tactile event. This project’s primary goal is to use generated and received vibrations to establish the scope of object properties that can be obtained through low-frequency generation on one end and Fourier analysis of the accelerometer data on the other end. The main idea behind the system is the phenomenon of change in vibration propagation patterns depending on the grip properties. Moreover, the project’s original aim is to gather enough information on vibration feedback on objects of various properties and compare them. These data sets are further analyzed in terms of frequency and applied grip force correlations in order to prepare the ground for pattern extraction and recognition based on the physical properties of an object.
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spelling doaj.art-28bab86c289e4abcbae625f32ae24b2d2023-11-23T14:08:49ZengMDPI AGSensors1424-82202022-08-012217645610.3390/s22176456VibroTouch: Active Tactile Sensor for Contact Detection and Force Sensing via VibrationsDanissa Sandykbayeva0Zhanat Kappassov1Bakhtiyar Orazbayev2Robotics Department, Nazarbayev University, Nur-Sultan 010000, KazakhstanRobotics Department, Nazarbayev University, Nur-Sultan 010000, KazakhstanPhysics Department, Nazarbayev University, Nur-Sultan 010000, KazakhstanAccurate and fast contact detection between a robot manipulator and objects is crucial for safe robot–object and human–robot interactions. Traditional collision detection techniques relied on force–torque sensors and Columb friction cone estimation. However, the strain gauges used in the conventional force sensors require low-noise and high-precision electronics to deliver the signal to the final user. The Signal-to-Noise Ratio (SNR) in these devices is still an issue in light contact detection. On the other hand, the Eccentric Rotating Mass (ERM) motors are very sensitive to subtle touch as their vibrating resonant state loses immediately. The vibration, in this case, plays a core role in triggering the tactile event. This project’s primary goal is to use generated and received vibrations to establish the scope of object properties that can be obtained through low-frequency generation on one end and Fourier analysis of the accelerometer data on the other end. The main idea behind the system is the phenomenon of change in vibration propagation patterns depending on the grip properties. Moreover, the project’s original aim is to gather enough information on vibration feedback on objects of various properties and compare them. These data sets are further analyzed in terms of frequency and applied grip force correlations in order to prepare the ground for pattern extraction and recognition based on the physical properties of an object.https://www.mdpi.com/1424-8220/22/17/6456active vibration sensingtactile sensingcontact detection
spellingShingle Danissa Sandykbayeva
Zhanat Kappassov
Bakhtiyar Orazbayev
VibroTouch: Active Tactile Sensor for Contact Detection and Force Sensing via Vibrations
Sensors
active vibration sensing
tactile sensing
contact detection
title VibroTouch: Active Tactile Sensor for Contact Detection and Force Sensing via Vibrations
title_full VibroTouch: Active Tactile Sensor for Contact Detection and Force Sensing via Vibrations
title_fullStr VibroTouch: Active Tactile Sensor for Contact Detection and Force Sensing via Vibrations
title_full_unstemmed VibroTouch: Active Tactile Sensor for Contact Detection and Force Sensing via Vibrations
title_short VibroTouch: Active Tactile Sensor for Contact Detection and Force Sensing via Vibrations
title_sort vibrotouch active tactile sensor for contact detection and force sensing via vibrations
topic active vibration sensing
tactile sensing
contact detection
url https://www.mdpi.com/1424-8220/22/17/6456
work_keys_str_mv AT danissasandykbayeva vibrotouchactivetactilesensorforcontactdetectionandforcesensingviavibrations
AT zhanatkappassov vibrotouchactivetactilesensorforcontactdetectionandforcesensingviavibrations
AT bakhtiyarorazbayev vibrotouchactivetactilesensorforcontactdetectionandforcesensingviavibrations