Model and Analysis of the Interaction Dynamics in Cooperative Manipulation Tasks

被引:59
|
作者
Erhart, Sebastian [1 ]
Hirche, Sandra [1 ]
机构
[1] Tech Univ Munich, Chair Informat Oriented Control, D-80290 Munich, Germany
关键词
Cooperative manipulators; dynamics; interaction dynamics; internal stress; kinematics; IMPEDANCE CONTROL; FORCE CONTROL; OBJECT; GRASP; ROBOTS;
D O I
10.1109/TRO.2016.2559500
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
Efficient coordination of a multirobot team is the key challenge in robotic application domains such as manufacturing, construction, and service robotics. In cooperative manipulation tasks, the system dynamics result from the complex interaction of several manipulators handling a common object. A comprehensive model is indispensable for a sophisticated model-based control design. An open problem is the modeling and analysis of the overall system dynamics including the manipulators' interaction wrenches. Based on the apparent end-effector dynamics in task space, in this paper we focus on the characterization of the interaction effects when manipulating a common object. We note the central role of the imposed kinematic constraints for the emerging system dynamics, their significance for the manipulator coordination in terms of control design, and the analysis of internalwrenches applied to the object. We derive fundamental properties of the cooperative manipulator system relevant to the manipulation task such as the apparent impedance with respect to external disturbances. An experimental study is conducted with two cooperating anthropomorphic manipulators supporting the relevance of our findings.
引用
收藏
页码:672 / 683
页数:12
相关论文
共 50 条
  • [41] Virtual-mechanism-based analysis of cooperative manipulation
    Liu, H
    Dai, JS
    Xu, HY
    Li, H
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE, 2005, 219 (03) : 315 - 323
  • [42] TASKS MANIPULATION OF LOADS: STUDY ON QUANTITATIVE METHODOLOGIES FOR RISK ANALYSIS
    Salgado, Raul Carlos
    Arezes, Pedro
    SHO2009: INTERNATIONAL SYMPOSIUM ON OCCUPATIONAL SAFETY AND HYGIENE, 2009, : 345 - 349
  • [43] Experimental Analysis of Human Control Strategies in Contact Manipulation Tasks
    Klingbeil, Ellen
    Menon, Samir
    Khatib, Oussama
    2016 INTERNATIONAL SYMPOSIUM ON EXPERIMENTAL ROBOTICS, 2017, 1 : 275 - 286
  • [44] Cooperative Dynamics in the Fiber Bundle Model
    Chakrabarti, Bikas K.
    Biswas, Soumyajyoti
    Pradhan, Srutarshi
    FRONTIERS IN PHYSICS, 2021, 8
  • [45] Force Feedback Enhancement for Soft Tissue Interaction Tasks in Cooperative Robotic Surgery
    Beretta, E.
    Nessi, F.
    Ferrigno, G.
    De Momi, E.
    2015 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), 2015, : 209 - 215
  • [46] Predicting Human Intent for Cooperative Physical Human-Robot Interaction Tasks
    Maithani, Harsh
    Ramon, Juan Antonio Corrales
    Mezouar, Youcef
    2019 IEEE 15TH INTERNATIONAL CONFERENCE ON CONTROL AND AUTOMATION (ICCA), 2019, : 1523 - 1528
  • [47] Hierarchical Task Model Predictive Control for Sequential Mobile Manipulation Tasks
    Du, Xintong
    Zhou, Siqi
    Schoellig, Angela P.
    IEEE ROBOTICS AND AUTOMATION LETTERS, 2024, 9 (02) : 1270 - 1277
  • [48] Soft finger model with adaptive contact geometry for grasping and manipulation tasks
    Ciocarlie, Matei
    Lackner, Claire
    Allen, Peter
    WORLD HAPTICS 2007: SECOND JOINT EUROHAPTICS CONFERENCE AND SYMPOSIUM ON HAPTIC INTERFACES FOR VIRTUAL ENVIRONMENT AND TELEOPERATOR SYSTEMS, PROCEEDINGS, 2007, : 219 - +
  • [49] An information-processing model of the BOLD response in symbol manipulation tasks
    John R. Anderson
    Yulin Qin
    Myeong-Ho Sohn
    V. Andrew Stenger
    Cameron S. Carter
    Psychonomic Bulletin & Review, 2003, 10 : 241 - 261
  • [50] Cerebellar Input Configuration Toward Object Model Abstraction in Manipulation Tasks
    Luque, Niceto R.
    Garrido, Jesus A.
    Carrillo, Richard R.
    Coenen, Olivier J. -M. D.
    Ros, Eduardo
    IEEE TRANSACTIONS ON NEURAL NETWORKS, 2011, 22 (08): : 1321 - 1328