The Research of Motion Planning for Humanoid Robots

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 a...

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Hauptverfasser:	Lu Xueqin, Qiu Rongfu
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Artificial intelligence Biological system modeling Fuzzy logic fuzzy logic algorithm gaits planning genetic algorithm humanoid robot Humanoid robots Joining processes Kinetic theory Legged locomotion Motion planning neural network algorithm Path planning Robot kinematics
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Beschreibung
Zusammenfassung:	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.
DOI:	10.1109/AICI.2009.335