A Multimodal Metameric Earthworm-Like Robot for Locomotion in Multiterrain Environments
In this research, we introduce a novel multimodal locomotion robot by integrating foldable wheeled structures with antagonistically deformable worm-like structures. This design reconciles the inherent challenges faced by conventional worm-like and wheeled robots. Our robot showcases two locomotion m...
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Veröffentlicht in: | IEEE/ASME transactions on mechatronics 2024-11, p.1-12 |
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Sprache: | eng |
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Zusammenfassung: | In this research, we introduce a novel multimodal locomotion robot by integrating foldable wheeled structures with antagonistically deformable worm-like structures. This design reconciles the inherent challenges faced by conventional worm-like and wheeled robots. Our robot showcases two locomotion modes and five distinct motion types: worm-like rectilinear, sidewinding, circular crawling, rectilinear rolling, and spot turning. This versatility enables the robot to adapt to diverse environments and tasks. We have developed kinematic models for both crawling and rolling locomotion modes. By correlating these models with gait and control signals, we can qualitatively predict the characteristics of robot trajectories and locomotion performance indexes, underscoring the key role of kinematic models in locomotion. Furthermore, we experimentally demonstrate the robot's multiterrain adaptability. The robot adeptly navigates horizontal, curved, and vertical industrial pipes, along with narrow sewers, utilizing the worm-like crawling mode. Moreover, it efficiently traverses open terrains, including carpeted floors, mossy ground, gravel paths, grassland, steps, asphalt pavement, and uphill, employing the rolling mode. Impressively, the robot swiftly readjusts its posture after descending steps and promptly reorients itself through spot turns, showcasing its agility. This work highlights the advantages of combining multiple motion modalities and integrating structural and control signals, providing valuable insights for the advancement of future bionic and multimodal robots. |
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ISSN: | 1083-4435 1941-014X |
DOI: | 10.1109/TMECH.2024.3490795 |