DocumentCode
3144978
Title
Humanoid push recovery
Author
Stephens, Benjamin
Author_Institution
Robot. Inst., Carnegie Mellon Univ. Pittsburgh, Pittsburgh, PA
fYear
2007
fDate
Nov. 29 2007-Dec. 1 2007
Firstpage
589
Lastpage
595
Abstract
We extend simple models previously developed for humanoids to large push recovery. Using these simple models, we develop analytic decision surfaces that are functions of reference points, such as the center of mass and center of pressure, that predict whether or not a fall is inevitable. We explore three strategies for recovery: 1) using ankle torques, 2) moving internal joints, and 3) taking a step. These models can be used in robot controllers or in analysis of human balance and locomotion.
Keywords
humanoid robots; legged locomotion; robot dynamics; torque control; analytic decision surface; ankle torque; center of mass; center of pressure; human balance; human locomotion; humanoid push recovery; moving internal joints; robot controller; robot dynamics; Arm; Biological system modeling; Hip; Humanoid robots; Humans; Predictive models; Robot control; Senior citizens; Stability; Torque; Dynamics; Robot dynamics; Robots;
fLanguage
English
Publisher
ieee
Conference_Titel
Humanoid Robots, 2007 7th IEEE-RAS International Conference on
Conference_Location
Pittsburgh, PA
Print_ISBN
978-1-4244-1861-9
Electronic_ISBN
978-1-4244-1862-6
Type
conf
DOI
10.1109/ICHR.2007.4813931
Filename
4813931
Link To Document