Title
A Falling Motion Strategy for Humanoids Based on Motion Primitives of Human Falling.
Abstract
In this paper, a falling motion planning for humanoid robots is proposed as inspired from human falling in order to decrease the impact force significantly. Firstly, motion data of human falling are obtained from a motion track system. Then, two falling motion primitives, namely, knee bending with stretching and hip bending with stretching are identified from human falling tests. A motion strategy is used to combine the falling motion primitives in motion strategy for humanoid falling in order to minimize the impact effects. Simulations and experiments with a humanoid robot have verified the proposed falling motion strategy.
Year
DOI
Venue
2017
10.1007/978-3-319-61276-8_29
ADVANCES IN SERVICE AND INDUSTRIAL ROBOTICS
Keywords
DocType
Volume
Falling protection,Humanoid robots,Motion planning,Biomechanics,Experimental robotics
Conference
49
ISSN
Citations 
PageRank 
2211-0984
0
0.34
References 
Authors
1
6
Name
Order
Citations
PageRank
Libo Meng1148.38
Zhangguo Yu24619.12
Weimin Zhang37221.91
Xuechao Chen44619.24
Marco Ceccarelli517043.95
Qiang Huang626691.95