Intuitive control of self-propelled microjets with haptic feedback

被引:18
|
作者
Pacchierotti C. [1 ]
Magdanz V. [2 ]
Medina-Sánchez M. [2 ]
Schmidt O.G. [2 ,3 ]
Prattichizzo D. [1 ,4 ]
Misra S. [5 ,6 ]
机构
[1] Department of Advanced Robotics, Istituto Italiano di Tecnologia, Genova
[2] Institute for Integrative Nanosciences, IFW Dresden, Dresden
[3] Material Systems for Nanoelectronics, University of Technology Chemnitz, Chemnitz
[4] Department of Information Engineering and Mathematics, University of Siena, Siena
[5] Surgical Robotics Laboratory, Department of Biomechanical Engineering, MIRA - Institute for Biomedical Technology and Technical Medicine, University of Twente, Enschede
[6] Department of Biomedical Engineering, University of Groningen and University Medical Centre Groningen, Groningen
基金
欧盟地平线“2020”; 欧洲研究理事会;
关键词
Actuators; Haptics; Microtechnology; Robotics; Teleoperation;
D O I
10.1007/s12213-015-0082-7
中图分类号
学科分类号
摘要
Self-propelled microrobots have recently shown promising results in several scenarios at the microscale, such as targeted drug delivery and micromanipulation of cells. However, none of the steering systems available in the literature enable humans to intuitively and effectively control these microrobots in the remote environment, which is a desirable feature. In this paper we present an innovative teleoperation system with force reflection that enables a human operator to intuitively control the positioning of a self-propelled microjet. A particle-filter-based visual tracking algorithm tracks at runtime the position of the microjet in the remote environment. A 6-degrees-of-freedom haptic interface then provides the human operator with compelling haptic feedback about the interaction between the controlled microjet and the environment, as well as enabling the operator to intuitively control the target position of the microjet. Finally, a wireless magnetic control system regulates the orientation of the microjet to reach the target point. The viability of the proposed approach is demonstrated through two experimentsz enrolling twenty-eight subjects. In both experiments providing haptic feedback significantly improved the performance and the perceived realism of the considered tasks. © 2015, Springer-Verlag Berlin Heidelberg.
引用
收藏
页码:37 / 53
页数:16
相关论文
共 45 条
  • [21] An Exploration on Intuitive Interfaces for Robot Control Based on Self Organisation
    Melidis, Christos
    Marocco, Davide
    ARTIFICIAL LIFE AND INTELLIGENT AGENTS, ALIA 2014, 2015, 519 : 73 - 79
  • [22] Predictive Haptic Feedback for Obstacle Avoidance Based on Model Predictive Control
    Balachandran, Avinash
    Brown, Matthew
    Erlien, Stephen M.
    Gerdes, J. Christian
    IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2016, 13 (01) : 26 - 31
  • [23] Design of Haptic Vibrational Feedback Control in Upper Extremity Myoelectric Prostheses
    Aguirre Cangalaya, Juan Diego
    Cruz Anchiraico, Jose Antonio
    Ivan Del Carpio, Sliver
    Chamorro Quijano, Sario Angel
    Huamanchahua, Deyby
    2022 8TH INTERNATIONAL CONFERENCE ON MECHATRONICS AND ROBOTICS ENGINEERING (ICMRE 2022), 2022, : 55 - 59
  • [24] Development and Evaluation of Mobile-App Controlled Self-Propelled Sensor-Integrated Rover for Site Specific Fertility Monitoring
    Rizwan Ul Zama Banday
    Mohd. Muzamil
    Jagvir Dixit
    Danish Gul
    Shuja Ahmad Tak
    Mahendra Kumar Sharma
    Sehreen Rasool
    Journal of The Institution of Engineers (India): Series A, 2025, 106 (1) : 81 - 92
  • [25] Haptic Feedback Control in Medical Robots through Fractional Viscoelastic Tissue Model
    Kobayashi, Yo
    Moreira, Pedro
    Liu, Chao
    Poignet, Philippe
    Zemiti, Nabil
    Fujie, Masakatsu G.
    2011 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2011, : 6704 - 6708
  • [26] Experimental Evaluation on Haptic Feedback Accuracy by Using Two Self-Made Haptic Devices and One Additional Interface in Robotic Teleoperation
    Liu, Guan-Yang
    Wang, Yi
    Huang, Chao
    Guan, Chen
    Ma, Dong-Tao
    Wei, Zhiming
    Qiu, Xinan
    ACTUATORS, 2022, 11 (01)
  • [27] A Whole-Body Integrated AVATAR System: Implementation of Telepresence With Intuitive Control and Immersive Feedback
    Park, Sungman
    Kim, Junsoo
    Lee, Hojae
    Jo, Minwoong
    Gong, Dohoon
    Ju, Dawon
    Won, Dami
    Kim, Sihyeon
    Oh, Jinhyeok
    Jang, Hun
    Bae, Joonbum
    IEEE ROBOTICS & AUTOMATION MAGAZINE, 2023, : 2 - 10
  • [28] Haptic Glove and Platform with Gestural Control For Neuromorphic Tactile Sensory Feedback In Medical Telepresence
    D'Abbraccio, Jessica
    Massari, Luca
    Prasanna, Sahana
    Baldini, Laura
    Sorgini, Francesca
    Farulla, Giuseppe Airo
    Bulletti, Andrea
    Mazzoni, Marina
    Capineri, Lorenzo
    Menciassi, Arianna
    Petrovic, Petar
    Palermo, Eduardo
    Oddo, Calogero Maria
    SENSORS, 2019, 19 (03):
  • [29] Predictive Haptic Feedback for Safe Lateral Control of Teleoperated Road Vehicles in Urban Areas
    Hosseini, Amin
    Richthammer, Florian
    Lienkamp, Markus
    2016 IEEE 83RD VEHICULAR TECHNOLOGY CONFERENCE (VTC SPRING), 2016,
  • [30] A Haptic Interface with Adjustable Feedback for Unmanned Aerial Vehicles (UAVs) -Model, Control, and Test
    Fu, Sheng
    Saeidi, Hamed
    Sand, Evan
    Sadrfaidpour, Bahzad
    Rodriguez, Julio
    Wang, Yue
    Wagner, John
    2016 AMERICAN CONTROL CONFERENCE (ACC), 2016, : 467 - 472