@inproceedings{7bdebc64d3444c6297dcb2264f9ce02b,
title = "More identifiable stiffness feedback for dexterous hand teleoperation in unknown environment",
abstract = "In dexterous hand teleoperation, effective forcefeedback is critical for precisely identifying objects in anunknown environment. This paper proposes an object-basedmotion mapping method to provide more identifiable stiffnessperception for an operator to perceive different objects in ateleoperation system. To verify the effectiveness of the proposedmethod, a three-fingered robot hand (BarrettHand BH8-280)teleoperation system is established which uses a commercialdesktop haptic device as the master manipulator. A comparisonexperiment is carried to identify the stiffness of five differentobjects with two different motion mapping methods: constantmotion mapping, and object-based motion mapping. The resultsshow that the object-based motion mapping is more reliable andeffective as compared with constant mapping method.",
keywords = "Dexterous hand teleoperation, Motion Mapping, Stiffness Feedback",
author = "Lingzhi Liu and Guanyang Liu and Yuru Zhang",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 6th International Conference on Virtual Reality and Visualization, ICVRV 2016 ; Conference date: 24-09-2016 Through 26-09-2016",
year = "2017",
month = jun,
day = "1",
doi = "10.1109/ICVRV.2016.58",
language = "英语",
series = "Proceedings - 2016 International Conference on Virtual Reality and Visualization, ICVRV 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "312--316",
editor = "Dandan Ding and Dangxiao Wang and Jian Chen and Xun Luo",
booktitle = "Proceedings - 2016 International Conference on Virtual Reality and Visualization, ICVRV 2016",
address = "美国",
}