The role of roles: Physical cooperation between humans and robots

被引:205
作者
Moertl, Alexander [1 ]
Lawitzky, Martin [1 ]
Kucukyilmaz, Ayse [2 ]
Sezgin, Metin [2 ]
Basdogan, Cagatay [2 ]
Hirche, Sandra [1 ]
机构
[1] Tech Univ Munich, Inst Automat Control Engn, D-80333 Munich, Germany
[2] Koc Univ, Coll Engn, TR-34450 Istanbul, Turkey
关键词
Cooperative manipulation; human feedback; input decomposition; load sharing; kinesthetic interaction; IMPEDANCE CONTROL; MANIPULATION;
D O I
10.1177/0278364912455366
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
Since the strict separation of working spaces of humans and robots has experienced a softening due to recent robotics research achievements, close interaction of humans and robots comes rapidly into reach. In this context, physical human-robot interaction raises a number of questions regarding a desired intuitive robot behavior. The continuous bilateral information and energy exchange requires an appropriate continuous robot feedback. Investigating a cooperative manipulation task, the desired behavior is a combination of an urge to fulfill the task, a smooth instant reactive behavior to human force inputs and an assignment of the task effort to the cooperating agents. In this paper, a formal analysis of human-robot cooperative load transport is presented. Three different possibilities for the assignment of task effort are proposed. Two proposed dynamic role exchange mechanisms adjust the robot's urge to complete the task based on the human feedback. For comparison, a static role allocation strategy not relying on the human agreement feedback is investigated as well. All three role allocation mechanisms are evaluated in a user study that involves large-scale kinesthetic interaction and full-body human motion. Results show tradeoffs between subjective and objective performance measures stating a clear objective advantage of the proposed dynamic role allocation scheme.
引用
收藏
页码:1656 / 1674
页数:19
相关论文
共 46 条
[1]   Haptic shared control: smoothly shifting control authority? [J].
Abbink, David A. ;
Mulder, Mark ;
Boer, Erwin R. .
COGNITION TECHNOLOGY & WORK, 2012, 14 (01) :19-28
[2]  
Althoff D, 2009, COGN SYST MONOGR, V6, P43
[3]   ESTIMATION OF INERTIAL PARAMETERS OF MANIPULATOR LOADS AND LINKS [J].
ATKESON, CG ;
AN, CH ;
HOLLERBACH, JM .
INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH, 1986, 5 (03) :101-119
[4]  
Basdogan C., 2000, ACM Transactions on Computer-Human Interaction, V7, P443, DOI 10.1145/365058.365082
[5]   KINODYNAMIC MOTION PLANNING [J].
DONALD, B ;
XAVIER, P ;
CANNY, J ;
REIF, J .
JOURNAL OF THE ACM, 1993, 40 (05) :1048-1066
[6]   A THEORY OF GENERALIZED INVERSES APPLIED TO ROBOTICS [J].
DOTY, KL ;
MELCHIORRI, C ;
BONIVENTO, C .
INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH, 1993, 12 (01) :1-19
[7]   Homotopy Switching Model for Dyad Haptic Interaction in Physical Collaborative Tasks [J].
Evrard, Paul ;
Kheddar, Abderrahmane .
WORLD HAPTICS 2009: THIRD JOINT EUROHAPTICS CONFERENCE AND SYMPOSIUM ON HAPTIC INTERFACES FOR VIRTUAL ENVIRONMENT AND TELEOPERATOR SYSTEMS, PROCEEDINGS, 2009, :45-+
[8]   Performance Related Energy Exchange in Haptic Human-Human Interaction in a Shared Virtual Object Manipulation Task [J].
Feth, Daniela ;
Groten, Raphaela ;
Peer, Angelika ;
Hirche, Sandra ;
Buss, Martin .
WORLD HAPTICS 2009: THIRD JOINT EUROHAPTICS CONFERENCE AND SYMPOSIUM ON HAPTIC INTERFACES FOR VIRTUAL ENVIRONMENT AND TELEOPERATOR SYSTEMS, PROCEEDINGS, 2009, :338-343
[9]   THE COORDINATION OF ARM MOVEMENTS - AN EXPERIMENTALLY CONFIRMED MATHEMATICAL-MODEL [J].
FLASH, T ;
HOGAN, N .
JOURNAL OF NEUROSCIENCE, 1985, 5 (07) :1688-1703
[10]   Predictive haptic guidance: Iintelligent user assistance for the control of dynamic tasks [J].
Forsyth, BAC ;
MacLean, KE .
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2006, 12 (01) :103-113