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Amphibious Miniature Soft Jumping Robot with On-Demand In-Flight Maneuver.
Wang, Yibin; Du, Xingzhou; Zhang, Huimin; Zou, Qian; Law, Junhui; Yu, Jiangfan.
Affiliation
  • Wang Y; School of Science and Engineering, The Chinese University of Hong Kong, 518172, Shenzhen, China.
  • Du X; Shenzhen Institute of Artificial Intelligence and Robotics for Society, 518172, Shenzhen, China.
  • Zhang H; School of Science and Engineering, The Chinese University of Hong Kong, 518172, Shenzhen, China.
  • Zou Q; Shenzhen Institute of Artificial Intelligence and Robotics for Society, 518172, Shenzhen, China.
  • Law J; School of Science and Engineering, The Chinese University of Hong Kong, 518172, Shenzhen, China.
  • Yu J; Shenzhen Institute of Artificial Intelligence and Robotics for Society, 518172, Shenzhen, China.
Adv Sci (Weinh) ; 10(18): e2207493, 2023 06.
Article in En | MEDLINE | ID: mdl-37097734
ABSTRACT
In nature, some semiaquatic arthropods evolve biomechanics for jumping on the water surface with the controlled burst of kinetic energy. Emulating these creatures, miniature jumping robots deployable on the water surface have been developed, but few of them achieve the controllability comparable to biological systems. The limited controllability and agility of miniature robots constrain their applications, especially in the biomedical field where dexterous and precise manipulation is required. Herein, an insect-scale magnetoelastic robot with improved controllability is designed. The robot can adaptively regulate its energy output to generate controllable jumping motion by tuning magnetic and elastic strain energy. Dynamic and kinematic models are developed to predict the jumping trajectories of the robot. On-demand actuation can thus be applied to precisely control the pose and motion of the robot during the flight phase. The robot is also capable of making adaptive amphibious locomotion and performing various tasks with integrated functional modules.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Robotics Type of study: Prognostic_studies Language: En Journal: Adv Sci (Weinh) Year: 2023 Document type: Article Affiliation country: China

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Robotics Type of study: Prognostic_studies Language: En Journal: Adv Sci (Weinh) Year: 2023 Document type: Article Affiliation country: China
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