Title :
Humanoid push recovery
Author :
Stephens, Benjamin
Author_Institution :
Robot. Inst., Carnegie Mellon Univ. Pittsburgh, Pittsburgh, PA
fDate :
Nov. 29 2007-Dec. 1 2007
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;
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
DOI :
10.1109/ICHR.2007.4813931