Bipedal Walking of an Octopus-Inspired Robot
作者： Marcello Calisti , Francesco Corucci , Andrea Arienti , Cecilia Laschi
DOI: 10.1007/978-3-319-09435-9_4
关键词: Crawling 、 Embodied intelligence 、 Robot locomotion 、 Artificial intelligence 、 Focus (optics) 、 Gait (human) 、 Bio-inspired robotics 、 Computer science 、 Computer vision 、 Robot 、 Octopus
摘要: In this paper a model is presented which describes an octopus-inspired robot capable of two kinds locomotion: crawling and bipedal walking. Focus will be placed on the latter type locomotion to demonstrate, through simulations experimental trials, that robot’s speed increases by about 3 times compared crawling. This finding coherent with performances biological counterpart when adopting gait. Specific features underwater legged are then derived from model, prompt possibility controlling using simple control exploiting slight morphological adaptations.
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