Title
Optimization model of the predictive head orientation for humanoid robots
Abstract
Most studies on humanoid robot locomotion focus on the dynamic stability of the robot and movements of the limbs. The role of the head during locomotion is one aspect that has received relatively little focus. In humans, the head plays a very important role of stabilizing in space and anticipating walking direction. In order to generate realistic humanoid motion, this is a vital aspect that must be taken into account. In this study, we propose a generalized framework for modeling human like head-body behavior during locomotion. We developed a dynamic model of the head and body orientation in which the head orientation is actively controlled and the trunk is coupled to it by a rotational spring-damper like term. Least-squares optimization was used to determine the parameters of this model from recorded human experimental data. The results were evaluated against novel recordings and provided a good prediction of human behavior. Our approach is an effective way to create human-like motions for anthropomorphic agents such as humanoid robots, and provides a good mathematical basis for extension to other aspects of human movements.
Year
DOI
Venue
2014
10.1109/HUMANOIDS.2014.7041450
Humanoid Robots
Keywords
Field
DocType
damping,humanoid robots,least squares approximations,mobile robots,motion control,optimisation,position control,predictive control,stability,humanoid robot locomotion,least-squares optimization model,limb movement,predictive head orientation,robot dynamic stability,rotational spring-damper
Data modeling,Robot control,Optimal control,Simulation,Computer science,Control theory,Robot locomotion,Shock absorber,Robot,Trajectory,Humanoid robot
Conference
ISSN
Citations 
PageRank 
2164-0572
0
0.34
References 
Authors
9
3
Name
Order
Citations
PageRank
Marina Horn100.34
Manish N. Sreenivasa2236.65
Katja Mombaur325029.14