A Biologically Inspired Multimodal Whisker Follicle

被引:0
|
作者
Wegiriya, Hasitha [1 ]
Sornkarn, Nantachai [1 ]
Bedford, Harry [1 ]
Nanayakkara, Thrishantha [1 ]
机构
[1] Kings Coll London, Dept Informat, Ctr Robot Res, London WC2R 2LS, England
来源
2016 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC) | 2016年
基金
英国工程与自然科学研究理事会;
关键词
Robotic Whiskers; A Biologically Inspired Multimodal Whisker Follicle; Tactile Sensor; ROBOT; DISCRIMINATION; SENSOR;
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Mammalian whisker follicle contains multiple sensory receptors strategically organized to capture tactile sensory stimuli of different frequencies via the vibrissal system. There have been a number of attempts to develop robotic whiskers to perform texture classification tasks in the recent past. Inspired by the features of biological whisker follicle, in this paper we design and use a novel soft whisker follicle comprising of two different frequency-dependent data capturing modules to derive deeper insights into the biological basis of tactile perception in the mammalian whisker follicle. In our design, the innervations at the Outer Conical Body (OCB) of a biological follicle are realized by a piezoelectric transducer for capturing high frequency components; whereas the innervations around the hair Papilla are represented by a hall sensor to capture low frequency components during the interaction with the environment. In this paper, we show how low dimensional information such as the principle components of co-variation of these two sensory modalities vary for different speeds and indentations of brushing the whisker against a surface. These new insights into the biological basis of tactile perception using whiskers provides new design guidelines to develop efficient robotic whiskers.
引用
收藏
页码:3847 / 3852
页数:6
相关论文
共 50 条
  • [1] A Stiffness Controllable Multimodal Whisker Sensor Follicle for Texture Comparison
    Wegiriya, Hasitha
    Herzig, Nicolas
    Abad, Sara-Adela
    Sadati, S. M. Hadi
    Nanayakkara, Thrishantha
    IEEE SENSORS JOURNAL, 2020, 20 (05) : 2320 - 2328
  • [2] Biologically Inspired, iterative engineering of a Human Lymphoid Follicle Chip
    Goyal, Girija
    Long, Jaclyn
    Levy, Oren
    Ingber, Donald E.
    JOURNAL OF IMMUNOLOGY, 2018, 200 (01):
  • [3] Optimal morphology of a biologically-inspired whisker array on an obstacle-avoiding robot
    Fend, M
    Yokoi, H
    Pfeifer, R
    ADVANCES IN ARTIFICIAL LIFE, PROCEEDINGS, 2003, 2801 : 771 - 780
  • [4] Biologically inspired multimodal integration: Interferences in a human-robot interaction game
    Sauser, Eric L.
    Billard, Aude G.
    2006 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, VOLS 1-12, 2006, : 5619 - +
  • [5] Attitude Estimation of a Biologically Inspired Robotic Housefly via Multimodal Sensor Fusion
    Campolo, Domenico
    Schenato, Luca
    Pi, Lijuan
    Deng, Xinyan
    Guglielmelli, Eugenio
    ADVANCED ROBOTICS, 2009, 23 (7-8) : 955 - 977
  • [6] Attitude stabilization of a biologically inspired robotic housefly via dynamic multimodal attitude estimation
    School of Mechanical and Aerospace Engineering, Nanyang Technological University, 639798 Singapore, Singapore
    不详
    不详
    不详
    Adv Rob, 1600, 15 (2113-2138):
  • [7] Attitude Stabilization of a Biologically Inspired Robotic Housefly via Dynamic Multimodal Attitude Estimation
    Campolo, Domenico
    Barbera, Giovanni
    Schenato, Luca
    Pi, Lijuan
    Deng, Xinyan
    Guglielmelli, Eugenio
    ADVANCED ROBOTICS, 2009, 23 (15) : 2113 - 2138
  • [8] Biologically inspired catalysts
    Shaw, Wendy J.
    Linehan, John C.
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2009, 237
  • [9] BIOLOGICALLY INSPIRED COMPUTING
    Esat, Ibrahim
    JOURNAL OF INTEGRATED DESIGN & PROCESS SCIENCE, 2007, 11 (03) : 1 - 3
  • [10] Biologically inspired design
    Shu, L. H.
    Ueda, K.
    Chiu, I.
    Cheong, H.
    CIRP ANNALS-MANUFACTURING TECHNOLOGY, 2011, 60 (02) : 673 - 693