Title
Control design principle of a low-cost humanoid system using a genetic algorithm
Abstract
This paper describes a control method for stable walking of a low-cost humanoid in which a two-stage genetic algorithm is applied to find energy-efficient walking based on the inverted pendulum model and straight knee posture. The first stage is to achieve stable walking and the second to find energy-efficient walking. The simulation results are then applied to a real robot, which realizes stable walking with a smooth motion and low energy consumption. From these results, it is confirmed that this control system is valid for highly energy-efficient biped walking.
Year
DOI
Venue
2003
10.1163/156855303322395208
ADVANCED ROBOTICS
Keywords
Field
DocType
low-cost humanoid,straight knee posture,inverted pendulum model,genetic algorithm
Inverted pendulum,Low energy,Control theory,Simulation,Control engineering,Engineering,Control system,Robot,Genetic algorithm
Journal
Volume
Issue
ISSN
17
8
0169-1864
Citations 
PageRank 
References 
1
0.36
4
Authors
4
Name
Order
Citations
PageRank
Fuminori Yamasaki1537.64
Ken Endo2212.57
Minoru Asada33147561.84
Hiroaki Kitano43515539.37