The Research of Motion Planning for Humanoid Robots

Author

Xueqin, Lu ; Rongfu, Qiu

Author_Institution

Dept. of Inf. & Control Eng., Shanghai Univ. of Electr. Power, Shanghai, China

Volume

2

fYear

2009

fDate

7-8 Nov. 2009

Firstpage

322

Lastpage

326

Abstract

This paper presents research advances in motion planning for humanoid robots, which has been a focus of robotics research in recent years. The twelve-link model of humanoid robot is analyzed. Then the intelligent control techniques on path planning and gait planning have been introduced. The three algorithms of gait planning are fuzzy logic algorithm, neural network algorithm and genetic algorithm. The analysis and estimation aim to provide a typical overview on motion planning for humanoid robots.

Keywords

fuzzy logic; genetic algorithms; humanoid robots; intelligent control; neural nets; path planning; fuzzy logic algorithm; gait planning; genetic algorithm; humanoid robots; intelligent control; motion planning; neural network algorithm; robotics research; twelve-link model; Artificial intelligence; Biological system modeling; Fuzzy logic; Humanoid robots; Joining processes; Kinetic theory; Legged locomotion; Motion planning; Path planning; Robot kinematics; fuzzy logic algorithm; gaits planning; genetic algorithm; humanoid robot; neural network algorithm; path planning;

fLanguage

English

Publisher

ieee

Conference_Titel

Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on

Conference_Location

Shanghai

Print_ISBN

978-1-4244-3835-8

Electronic_ISBN

978-0-7695-3816-7

Type

conf

DOI

10.1109/AICI.2009.335

Filename

5375769