Friction compensation techniques for tendon-driven robotic hands

被引:30
|
作者
Palli, Gianluca [1 ]
Melchiorri, Claudio [1 ]
机构
[1] Univ Bologna, DEI Dept Elect Elect & Informat Engn, I-40136 Bologna, Italy
关键词
Robotic hands; Friction modeling; Friction compensation; Nonlinear systems; SENSOR; MODEL; IDENTIFICATION; PASSIVITY; SYSTEMS; DESIGN;
D O I
10.1016/j.mechatronics.2013.12.006
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, novel methods for friction compensation in tendon-driven robotic hands are presented and discussed. The results of the proposed techniques have been experimentally validated on the DEXMART robotic hand, where the adoption of joints based on sliding pairs (to reduce the complexity of the mechanism and to ease the assembly procedure) introduces as a side effect a non-negligible joint friction. These friction phenomena have been modeled by means of a specialized version of the LuGre model in which the friction coefficients vary with the normal force. After an experimental validation on a specific laboratory setup, a simplified friction model has been derived and used in the joint position control loop of the DEXMART hand to compute a feed-forward term for reducing the position error. A comparison of this approach with other model and non-model based friction compensation techniques is also presented and discussed. (C) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码:108 / 117
页数:10
相关论文
共 50 条
  • [1] Friction Estimation for Tendon-Driven Robotic Hands
    Lange, Friedrich
    Pfanne, Martin
    Steinmetz, Franz
    Wolf, Sebastian
    Stulp, Freek
    [J]. 2021 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA 2021), 2021, : 6505 - 6511
  • [2] Minimally Invasive Torque Sensor for Tendon-Driven Robotic Hands
    Natale, Ciro
    Pirozzi, Salvatore
    [J]. 2008 IEEE/RSJ INTERNATIONAL CONFERENCE ON ROBOTS AND INTELLIGENT SYSTEMS, VOLS 1-3, CONFERENCE PROCEEDINGS, 2008, : 65 - 70
  • [3] Underactuated tendon-driven robotic/prosthetic hands: design issues
    Mottard, Annick
    Laliberte, Thierry
    Gosselin, Clement
    [J]. ROBOTICS: SCIENCE AND SYSTEMS XIII, 2017,
  • [4] Development and Evaluation of a Friction Model for Tendon-Driven Soft Robotic Devices
    Daemi, Parisa
    Zhou, Yue
    Naish, Michael D.
    Price, Aaron D.
    Trejos, Ana Luisa
    [J]. IEEE TRANSACTIONS ON MEDICAL ROBOTICS AND BIONICS, 2023, 5 (02): : 429 - 441
  • [5] Design and Optimization of a Tendon-driven Robotic Hand
    Wen, Ligang
    Li, Yongyao
    Cong, Ming
    Lang, Haoxiang
    Du, Yu
    [J]. 2017 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL TECHNOLOGY (ICIT), 2017, : 767 - 772
  • [6] Design of An Anthropomorphic Tendon-Driven Robotic Finger
    Shirafuji, Shouhei
    Ikemoto, Shuhei
    Hosoda, Koh
    [J]. 2012 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS (ROBIO 2012), 2012,
  • [7] On tendon-driven robotic mechanisms with redundant tendons
    Kobayashi, H
    Hyodo, K
    Ogane, D
    [J]. INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH, 1998, 17 (05): : 561 - 571
  • [8] Analyzing and Improving Cartesian Stiffness Control Stability of Series Elastic Tendon-driven Robotic Hands
    Rao, Prashant
    Deshpande, Ashish D.
    [J]. 2018 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), 2018, : 5415 - 5420
  • [9] Anthropomorphic tendon-driven robotic hands can exceed human grasping capabilities following optimization
    Inouye, Joshua M.
    Valero-Cuevas, Francisco J.
    [J]. INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH, 2014, 33 (05): : 694 - 705
  • [10] Control of Tendon-Driven Soft Foam Robot Hands
    Schlagenhauf, Cornelia
    Bauer, Dominik
    Chang, Kai-Hung
    King, Jonathan P.
    Moro, Daniele
    Coros, Stelian
    Pollard, Nancy
    [J]. 2018 IEEE-RAS 18TH INTERNATIONAL CONFERENCE ON HUMANOID ROBOTS (HUMANOIDS), 2018, : 1100 - 1106