IrisTac: A Vision-based Tactile Sensor with Chromatic and Modeled Illumination

被引:0
|
作者
Liu, Xin [1 ]
Sheng, Lijie [1 ]
Wu, Yige [1 ]
Guan, Isabel Y. N. [2 ]
Zhu, Zheng [1 ]
Jia, Zhenzhong [1 ]
机构
[1] Southern Univ Sci & Technol SUSTech, Dept Mech & Energy Engn, Shenzhen, Peoples R China
[2] Peking Univ, Sch Software & Microelect, Beijing, Peoples R China
基金
美国国家科学基金会;
关键词
IrisTac; tactile sensor design; optical design; phantom LED; optical lens design; HIGH-RESOLUTION; COMPACT;
D O I
10.1109/EECR60807.2024.10607212
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper demonstrates a new tactile sensor design, IrisTac, specifically designed to simulate different lighting environments. We refer to most of the previous literature on optimizing optical design for tactile sensors, resulting in a combination of a phantom LED ring and an optical lens. Thanks to our light source design, we can simulate various lighting conditions and achieve brightness supplementation by adjusting each independent LED's color ratios and light emission levels. With the help of an optical lens, we improve the path of the incident light, ensuring almost all the light emitted by LED can be uniformly irradiated on the imaging surface. During the development of the lens, we create an environment specifically for light path simulation, which can aid us and other researchers in achieving rapid design. All these optimizations are integrated into a compact sensor that is easy to manufacture, assemble, use, and maintain. Our work provides not only a solution for design iterations of tactile sensors but also a valuable tool for others who wish to continue exploring the field of optical optimization in tactile sensors.
引用
收藏
页码:356 / 363
页数:8
相关论文
共 50 条
  • [31] Vision-based fluid-type tactile sensor for measurements on biological tissues
    Kim, Youngwoo
    Obinata, Goro
    Kawk, Bongseop
    Jung, Jiuk
    Lee, Suwoong
    MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, 2018, 56 (02) : 297 - 305
  • [32] Real-time Marker Recognition Using Vision-based Tactile Sensor
    Hu, Chuan-Bo
    Zhang, Chun
    Xie, Xiang
    He, Jian-Ye
    Xie, Wen-Ao
    2018 14TH IEEE INTERNATIONAL CONFERENCE ON SOLID-STATE AND INTEGRATED CIRCUIT TECHNOLOGY (ICSICT), 2018, : 699 - 701
  • [33] Minsight: A Fingertip-Sized Vision-Based Tactile Sensor for Robotic Manipulation
    Andrussow, Iris
    Sun, Huanbo
    Kuchenbecker, Katherine J. J.
    Martius, Georg
    ADVANCED INTELLIGENT SYSTEMS, 2023, 5 (08)
  • [34] A Soft and Inflatable Vision-Based Tactile Sensor for Inspection of Constrained and Confined Spaces
    Kim, Han Soul
    Kara, Ozdemir Can
    Alambeigi, Farshid
    IEEE SENSORS JOURNAL, 2023, 23 (23) : 29605 - 29618
  • [35] Grip force control using vision-based tactile sensor for dexterous handling
    Watanabe, Norinao
    Obinata, Goro
    EUROPEAN ROBOTICS SYMPOSIUM 2008, 2008, 44 : 113 - +
  • [36] Cherry tomato firmness detection and prediction using a vision-based tactile sensor
    He, Leiying
    Tao, Lei
    Ma, Zenghong
    Du, Xiaoqiang
    Wan, Weiwei
    JOURNAL OF FOOD MEASUREMENT AND CHARACTERIZATION, 2024, 18 (02) : 1053 - 1064
  • [37] Incipient slip detection method for soft objects with vision-based tactile sensor
    Sui, Ruomin
    Zhang, Lunwei
    Li, Tiemin
    Jiang, Yao
    MEASUREMENT, 2022, 203
  • [38] Cherry tomato firmness detection and prediction using a vision-based tactile sensor
    Leiying He
    Lei Tao
    Zenghong Ma
    Xiaoqiang Du
    Weiwei Wan
    Journal of Food Measurement and Characterization, 2024, 18 : 1053 - 1064
  • [39] On the Design and Development of Vision-based Tactile Sensors
    Umer Hameed Shah
    Rajkumar Muthusamy
    Dongming Gan
    Yahya Zweiri
    Lakmal Seneviratne
    Journal of Intelligent & Robotic Systems, 2021, 102
  • [40] Transfer learning for vision-based tactile sensing
    Sferrazza, Carmelo
    D'Andrea, Raffaello
    2019 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), 2019, : 7961 - 7967