Title :
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
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;
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
DOI :
10.1109/AICI.2009.335
