OPPOSITION-BASED LEARNING PARTICLE SWARM OPTIMIZATION OF RUNNING GAIT FOR HUMANOID ROBOT
نویسندگان
چکیده
منابع مشابه
Opposition-based Learning Particle Swarm Optimization of Running Gait for Humanoid Robot
This paper investigates the problem of running gait optimization for humanoid robot. In order to reduce energy consumption and guarantee the dynamic balance including both horizontal and vertical stability, a novel running gait generation based on opposition-based learning particle swarm optimization (PSO) is proposed which aims at high energy efficiency with better stability. In the proposed s...
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ژورنال
عنوان ژورنال: International Journal on Smart Sensing and Intelligent Systems
سال: 2015
ISSN: 1178-5608
DOI: 10.21307/ijssis-2017-801