Literature DB >> 28616371

Tactile Sensing with Whiskers of Various Shapes: Determining the Three-Dimensional Location of Object Contact Based on Mechanical Signals at the Whisker Base.

Lucie A Huet1, John W Rudnicki1,2, Mitra J Z Hartmann1,3.   

Abstract

Almost all mammals use their mystacial vibrissae (whiskers) as important tactile sensors. There are no sensors along the length of a whisker: all sensing is performed by mechanoreceptors at the whisker base. To use artificial whiskers as a sensing tool in robotics, it is essential to be able to determine the three-dimensional (3D) location at which a whisker has made contact with an object. With the assumption of quasistatic, frictionless, single-point contact, previous work demonstrated that the 3D contact point can be uniquely determined if all six components of force and moment are measured at the whisker base, but these measurements require a six-axis load cell. Here, we perform simulations to investigate the extent to which each of the 20 possible "triplet" combinations of the six mechanical signals at the whisker base uniquely determine 3D contact point location. We perform this analysis for four different whisker profiles (shapes): tapered with and without intrinsic curvature, and cylindrical with and without intrinsic curvature. We show that whisker profile has a strong influence on the particular triplet(s) of signals that uniquely map to the 3D contact point. The triplet of bending moment, bending moment direction, and axial force produces unique mappings for tapered whiskers. Four different mappings are unique for a cylindrical whisker without intrinsic curvature, but only when large deflections are excluded. These results inform the neuroscience of vibrissotactile sensing and represent an important step toward the development of artificial whiskers for robotic applications.

Keywords:  biomimetic robots; morphological computation; physical simulation; soft sensing; trigeminal; vibrissa

Year:  2017        PMID: 28616371      PMCID: PMC5467137          DOI: 10.1089/soro.2016.0028

Source DB:  PubMed          Journal:  Soft Robot        ISSN: 2169-5172            Impact factor:   8.071


  28 in total

1.  Multidimensional characterisation of biomechanical structures by combining Atomic Force Microscopy and Focused Ion Beam: A study of the rat whisker.

Authors:  Vahid Reza Adineh; Boyin Liu; Ramesh Rajan; Wenyi Yan; Jing Fu
Journal:  Acta Biomater       Date:  2015-03-31       Impact factor: 8.947

2.  Responses of rat trigeminal ganglion neurons to movements of vibrissae in different directions.

Authors:  S H Lichtenstein; G E Carvell; D J Simons
Journal:  Somatosens Mot Res       Date:  1990       Impact factor: 1.111

3.  Rats can learn a roughness discrimination using only their vibrissal system.

Authors:  E Guić-Robles; C Valdivieso; G Guajardo
Journal:  Behav Brain Res       Date:  1989-01-01       Impact factor: 3.332

4.  Behavioral properties of the trigeminal somatosensory system in rats performing whisker-dependent tactile discriminations.

Authors:  D J Krupa; M S Matell; A J Brisben; L M Oliveira; M A Nicolelis
Journal:  J Neurosci       Date:  2001-08-01       Impact factor: 6.167

5.  Mechanical signals at the base of a rat vibrissa: the effect of intrinsic vibrissa curvature and implications for tactile exploration.

Authors:  Brian W Quist; Mitra J Z Hartmann
Journal:  J Neurophysiol       Date:  2012-02-01       Impact factor: 2.714

6.  Radial distance determination in the rat vibrissal system and the effects of Weber's law.

Authors:  Joseph H Solomon; Mitra J Z Hartmann
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2011-11-12       Impact factor: 6.237

7.  Biometric analyses of vibrissal tactile discrimination in the rat.

Authors:  G E Carvell; D J Simons
Journal:  J Neurosci       Date:  1990-08       Impact factor: 6.167

8.  Biomechanical models for radial distance determination by the rat vibrissal system.

Authors:  J Alexander Birdwell; Joseph H Solomon; Montakan Thajchayapong; Michael A Taylor; Matthew Cheely; R Blythe Towal; Jorg Conradt; Mitra J Z Hartmann
Journal:  J Neurophysiol       Date:  2007-06-06       Impact factor: 2.714

9.  Simulations of a Vibrissa Slipping along a Straight Edge and an Analysis of Frictional Effects during Whisking.

Authors:  Lucie A Huet; Mitra J Z Hartmann
Journal:  IEEE Trans Haptics       Date:  2016-01-27       Impact factor: 2.487

10.  Spatiotemporal Patterns of Contact Across the Rat Vibrissal Array During Exploratory Behavior.

Authors:  Jennifer A Hobbs; R Blythe Towal; Mitra J Z Hartmann
Journal:  Front Behav Neurosci       Date:  2016-01-05       Impact factor: 3.558

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  8 in total

Review 1.  Design principles of hair-like structures as biological machines.

Authors:  Madeleine Seale; Cathal Cummins; Ignazio Maria Viola; Enrico Mastropaolo; Naomi Nakayama
Journal:  J R Soc Interface       Date:  2018-05       Impact factor: 4.118

2.  Effects of Multi-Point Contacts during Object Contour Scanning Using a Biologically-Inspired Tactile Sensor.

Authors:  Lukas Merker; Sebastian J Fischer Calderon; Moritz Scharff; Jorge H Alencastre Miranda; Carsten Behn
Journal:  Sensors (Basel)       Date:  2020-04-07       Impact factor: 3.576

3.  Automatic Fracture Characterization Using Tactile and Proximity Optical Sensing.

Authors:  Francesca Palermo; Jelizaveta Konstantinova; Kaspar Althoefer; Stefan Poslad; Ildar Farkhatdinov
Journal:  Front Robot AI       Date:  2020-12-02

Review 4.  Review of Recent Bio-Inspired Design and Manufacturing of Whisker Tactile Sensors.

Authors:  Mohamad-Ammar Sayegh; Hammam Daraghma; Samir Mekid; Salem Bashmal
Journal:  Sensors (Basel)       Date:  2022-04-01       Impact factor: 3.576

5.  Demonstration of three-dimensional contact point determination and contour reconstruction during active whisking behavior of an awake rat.

Authors:  Lucie A Huet; Hannah M Emnett; Mitra J Z Hartmann
Journal:  PLoS Comput Biol       Date:  2022-09-15       Impact factor: 4.779

6.  Continuous, multidimensional coding of 3D complex tactile stimuli by primary sensory neurons of the vibrissal system.

Authors:  Nicholas E Bush; Sara A Solla; Mitra J Z Hartmann
Journal:  Proc Natl Acad Sci U S A       Date:  2021-08-10       Impact factor: 11.205

7.  Prediction of Choice from Competing Mechanosensory and Choice-Memory Cues during Active Tactile Decision Making.

Authors:  Dario Campagner; Mathew H Evans; Katarina Chlebikova; Andrea Colins-Rodriguez; Michaela S E Loft; Sarah Fox; David Pettifer; Mark D Humphries; Karel Svoboda; Rasmus S Petersen
Journal:  J Neurosci       Date:  2019-03-08       Impact factor: 6.167

8.  Design of a Sensitive Balloon Sensor for Safe Human-Robot Interaction.

Authors:  Dongjin Kim; Seungyong Han; Taewi Kim; Changhwan Kim; Doohoe Lee; Daeshik Kang; Je-Sung Koh
Journal:  Sensors (Basel)       Date:  2021-03-19       Impact factor: 3.576

  8 in total

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