Experimental Validation of Contact Dynamics for In-Hand Manipulation

被引:3
|
作者
Kolbert, Roman [2 ]
Chavan-Dafle, Nikhil [1 ]
Rodriguez, Alberto [1 ]
机构
[1] MIT, Dept Mech Engn, Cambridge, MA 02139 USA
[2] Tech Univ Berlin, Robot & Biol Lab, Berlin, Germany
关键词
FRICTION; FINGERTIP; MODELS;
D O I
10.1007/978-3-319-50115-4_55
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
This paper evaluates state-of-the-art contact models at predicting the motions and forces involved in simple in-hand robotic manipulations. In particular it focuses on three primitive actions-linear sliding, pivoting, and rolling-that involve contacts between a gripper, a rigid object, and their environment. The evaluation is done through thousands of controlled experiments designed to capture the motion of object and gripper, and all contact forces and torques at 250 Hz. We demonstrate that a contact modeling approach based on Coulomb's friction law and maximum energy principle is effective at reasoning about interaction to first order, but limited for making accurate predictions. We attribute the major limitations to (1) the non-uniqueness of force resolution inherent to grasps with multiple hard contacts of complex geometries, (2) unmodeled dynamics due to contact compliance, and (3) unmodeled geometries due to manufacturing defects.
引用
收藏
页码:633 / 645
页数:13
相关论文
共 50 条
  • [21] In-Hand Manipulation of Objects with Unknown Shapes
    Cruciani, Silvia
    Yin, Hang
    Kragic, Danica
    2020 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), 2020, : 8848 - 8854
  • [22] Model-free in-hand manipulation based on commanded virtual contact points
    Montano, Andres
    Suarez, Raul
    2019 24TH IEEE INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGIES AND FACTORY AUTOMATION (ETFA), 2019, : 586 - 592
  • [23] CONTENT VALIDITY OF THE IN-HAND MANIPULATION TEST
    EXNER, CE
    AMERICAN JOURNAL OF OCCUPATIONAL THERAPY, 1993, 47 (06): : 505 - 513
  • [24] Grasping and in-hand manipulation: Geometry and algorithms
    Sudsang, A
    Ponce, J
    Srinivasa, N
    ALGORITHMICA, 2000, 26 (3-4) : 466 - 493
  • [25] Grasping and In-Hand Manipulation: Geometry and Algorithms
    A. Sudsang
    J. ponce
    N. Srinivasa
    Algorithmica, 2000, 26 : 466 - 493
  • [26] DEVELOPMENT OF IN-HAND MANIPULATION AND RELATIONSHIP WITH ACTIVITIES
    HUMPHRY, R
    JEWELL, K
    ROSENBERGER, RC
    AMERICAN JOURNAL OF OCCUPATIONAL THERAPY, 1995, 49 (08): : 763 - 771
  • [27] In-Hand Manipulation via Motion Cones
    Chavan-Dafle, Nikhil
    Holladay, Rachel
    Rodriguez, Alberto
    ROBOTICS: SCIENCE AND SYSTEMS XIV, 2018,
  • [28] A Dexterous Soft Robotic Hand for Delicate In-Hand Manipulation
    Abondance, Sylvain
    Teeple, Clark B.
    Wood, Robert J.
    IEEE ROBOTICS AND AUTOMATION LETTERS, 2020, 5 (04): : 5502 - 5509
  • [29] The multifingered NAIST hand system for robot in-hand manipulation
    Ueda, Jun
    Kondo, Masahiro
    Ogasawara, Tsukasa
    MECHANISM AND MACHINE THEORY, 2010, 45 (02) : 224 - 238
  • [30] Learning Hierarchical Control for Robust In-Hand Manipulation
    Li, Tingguang
    Srinivasan, Krishnan
    Meng, Max Qing-Hu
    Yuan, Wenzhen
    Bohg, Jeannette
    2020 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), 2020, : 8855 - 8862