Title
Achieving efficient and stable comanipulation through adaptation to changes in human arm impedance
Abstract
We focus on comanipulation, i.e. manipulation of an object simultaneously held by a robot and a human operator. In this domain, a major difficulty is raised by significant variations of human dynamics, which depend not only on the arm posture, but also on the muscular activity (muscular co-contraction) and more generally on the type of task being performed: fine positioning, gross and rapid movements, repeated movements, etc. An ideal comanipulation system should be able of adapting its behavior to the operator's functional intention, resulting in an intuitive assisting device. Toward this goal, we present in this paper first results of our research aimed at developing an instrumented handle mounted on a robot end-effector and held by an operator, that can be used for estimating the grasping force and for adapting the robot controller accordingly. We show first experimental evidences that changes in the grasping force drastically affect the robot controller performances. We thus propose a handle design and a gain scheduling strategy that result in a robot behavior adequate for any kind of grasps. This solution is successfully experimented with a 1 degree of freedom robot under largely variable comanipulation conditions, exhibiting a stable and efficiently adaptive behavior.
Year
DOI
Venue
2009
10.1109/ROBOT.2009.5152294
ICRA
Keywords
Field
DocType
adaptive behavior,human arm impedance,human operator,variable comanipulation condition,robot controller,ideal comanipulation system,robot end-effector,robot behavior,stable comanipulation,freedom robot,robot controller performance,human dynamic,end effectors,scheduling,gain scheduling,industrial robot end effector,robot control,data mining,adaptive control,force,manufacturing industries,human robot interaction,impedance,degree of freedom,stability
Robot control,Control theory,Gain scheduling,Control engineering,Robot end effector,Engineering,Behavior-based robotics,Adaptive control,Robot,Adaptive behavior,Human–robot interaction
Conference
Volume
Issue
ISSN
2009
1
1050-4729
Citations 
PageRank 
References 
1
0.36
8
Authors
5
Name
Order
Citations
PageRank
X. Lamy110.36
Frédéric Colledani2153.63
F. Geffard310.36
Y. Measson410.70
Guillaume Morel56215.01