Title
Reflexive stability control framework for humanoid robots
Abstract
In this paper we propose a general control framework for ensuring stability of humanoid robots, determined through a normalized zero-moment-point (ZMP). The proposed method is based on the modified prioritized kinematic control, which allows smooth and continuous transition between priorities. This, as long as the selected criterion is met, allows arbitrary joint movement of a robot without any regard of the consequential movement of the ZMP. On the other hand, it constrains the movement when the criterion approaches a critical condition. The critical condition thus triggers a reflexive, subconscious behavior, which has a higher priority than the desired, conscious movement. The transition between the two is smooth and reversible. Furthermore, the switching is encapsulated in a single modified prioritized task control equation. We demonstrate the properties of the algorithm on two human-inspired robots developed in our laboratory; a human-inspired leg-robot used for imitating human movement and a skiing robot.
Year
DOI
Venue
2013
10.1007/s10514-013-9329-0
Auton. Robots
Keywords
Field
DocType
Humanoids,Stability,Skiing robot
Reflexivity,Robot control,Kinematics,Computer science,Simulation,Electronic stability control,Subconscious,Robot,Humanoid robot
Journal
Volume
Issue
ISSN
34
4
0929-5593
Citations 
PageRank 
References 
5
0.50
36
Authors
4
Name
Order
Citations
PageRank
Tadej Petric117820.60
Andrej Gams238529.54
Jan Babic312819.25
Leon Žlajpah4613.86