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Snail-inspired robotic swarms: a hybrid connector drives collective adaptation in unstructured outdoor environments.
Zhao, Da; Luo, Haobo; Tu, Yuxiao; Meng, Chongxi; Lam, Tin Lun.
Afiliación
  • Zhao D; School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, Shenzhen, China.
  • Luo H; Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China.
  • Tu Y; School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, Shenzhen, China.
  • Meng C; Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China.
  • Lam TL; School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, Shenzhen, China.
Nat Commun ; 15(1): 3647, 2024 Apr 29.
Article en En | MEDLINE | ID: mdl-38684822
ABSTRACT
Terrestrial self-reconfigurable robot swarms offer adaptable solutions for various tasks. However, most existing swarms are limited to controlled indoor settings, and often compromise stability due to their freeform connections. To address these issues, we present a snail robotic swarm system inspired by land snails, tailored for unstructured environments. Our system also employs a two-mode connection mechanism, drawing from the adhesive capabilities of land snails. The free mode, mirroring a snail's natural locomotion, leverages magnet-embedded tracks for freeform mobility, thereby enhancing adaptability and efficiency. The strong mode, analogous to a snail's response to disturbance, employs a vacuum sucker with directional polymer stalks for robust adhesion. By assigning specific functions to each mode, our system achieves a balance between mobility and secure connections. Outdoor experiments demonstrate the capabilities of individual robots and the exceptional synergy within the swarm. This research advances the real-world applications of terrestrial robotic swarms in unstructured environments.

Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2024 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2024 Tipo del documento: Article