Hybrid control of multi-fingered dextrous robotic hands

被引:0
|
作者
Schlegl, T
Buss, M
Schmidt, G
机构
[1] Siemens VDO Automat AG, D-93059 Regensburg, Germany
[2] Tech Univ Berlin, Control Syst Grp, D-10587 Berlin, Germany
[3] Tech Univ Munich, Inst Automat Control Engn, D-80290 Munich, Germany
[4] Tokyo Inst Technol, Tokyo, Japan
关键词
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This article presents a hybrid discrete-continuous dynamical systems approach to control of multi-fingered dextrous manipulations by robotic hands. A discrete-continuous modeling framework allows to derive a hybrid state model integrating time-driven dynamic features of manipulation systems as well as discrete event aspects resulting from varying contact situations between the robotichand and manipulated objects I. The combination of continuous and discrete dynamic aspects is typical for multi-fingered manipulation. A hybrid control architecture comprising 4 hybrid planning scheme for grasping and regrasping, impedance control algorithms based on 6D contact force sensor information, and a formal compensation method for discrete contact state errors are proposed. Results of dynamical simulations and experiments with a four-fingered hand grasping and manipulating objects demonstrate the robustness improvement in grasping control as achieved by use of the proposed hybrid control approach.
引用
收藏
页码:437 / 465
页数:29
相关论文
共 50 条
  • [41] Painting robot with multi-fingered hands and stereo vision
    Kudoh, Shunsuke
    Ogawara, Koichi
    Ruchanurucks, Miti
    Ikeuchi, Katsushi
    ROBOTICS AND AUTONOMOUS SYSTEMS, 2009, 57 (03) : 279 - 288
  • [42] Autonomous control of multi-fingered hand
    Jiang, Li
    Liu, Hong
    PROGRESS IN NATURAL SCIENCE-MATERIALS INTERNATIONAL, 2006, 16 (05) : 531 - 537
  • [43] Load-sensitive Data Acquisition for a Tactile Sensor System of Multi-fingered Robotic Hands
    Ishizaki, Ryusuke
    Ogiwara, Shun
    Hamatsu, Fumiya
    Sakurai, Tomoyuki
    Shin, Hirofumi
    Yoshiike, Takahide
    2022 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, ICRA 2022, 2022, : 10767 - 10773
  • [44] A Grasping Force Optimization Algorithm with Dynamic Torque Constraints Selection for Multi-Fingered Robotic Hands
    Lippiello, Vincenzo
    Siciliano, Bruno
    Villani, Luigi
    2011 AMERICAN CONTROL CONFERENCE, 2011, : 1118 - 1123
  • [45] Simulating dextrous manipulation of a multi-fingered robot hand based on a unified dynamic model
    Chan, JC
    Liu, YH
    ICRA '99: IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, VOLS 1-4, PROCEEDINGS, 1999, : 3026 - 3031
  • [46] Multi-fingered grabbers as smart structures for robotic applications
    Shahinpoor, M
    THIRD INTERNATIONAL CONFERENCE ON INTELLIGENT MATERIALS - THIRD EUROPEAN CONFERENCE ON SMART STRUCTURES AND MATERIALS, 1996, 2779 : 1000 - 1005
  • [47] Functionally Divided Manipulation Synergy for Controlling Multi-fingered Hands
    Higashi, Kazuki
    Koyama, Keisuke
    Ozawa, Ryuta
    Nagata, Kazuyuki
    Wan, Weiwei
    Harada, Kensuke
    2020 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), 2020, : 9190 - 9197
  • [48] Autonomous control of multi-fingered hand
    JIANG Li and LIU Hong (Robotics Research Institute
    Progress in Natural Science, 2006, (05) : 531 - 537
  • [49] Compliant multi-fingered passively adaptive robotic gripper
    Petkovic, Dalibor
    Pavlovic, Nenad D.
    MULTIDISCIPLINE MODELING IN MATERIALS AND STRUCTURES, 2013, 9 (04) : 538 - 547
  • [50] Dexhand : a Space qualified multi-fingered robotic hand
    Chalon, Maxime
    Wedler, Armin
    Baumann, Andreas
    Bertleff, Wieland
    Beyer, Alexander
    Butterfass, Joerg
    Grebenstein, Markus
    Gruber, Robin
    Hacker, Franz
    Kraemer, Erich
    Landzettel, Klaus
    Maier, Maximilian
    Sedlmayr, Hans-Juergen
    Seitz, Nikolaus
    Wappler, Fabian
    Willberg, Bertram
    Wimboeck, Thomas
    Hirzinger, Gerd
    Didot, Frederic
    2011 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), 2011, : 2204 - 2210