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Optimization of Energy Storage for a Miniature Water Jumping Robot

  • Shihao Zhang
  • , Xin Zhang
  • , Jihong Yan*
  • *Corresponding author for this work
  • Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The water-jumping robot’s energy storage size is the key to improving the jumping performance. Materials with high energy density and large deformability are chosen as robotic energy storage elements, and the storage energy size of water jumping robots can be increased. We design an energy storage mechanism with latex and carbon composite fiber with large deformability and high energy density. The carbon composite fiber deformation was solved the by differential iteration method, and we developed its deformation-force-energy storage model. The energy storage size is increased by optimizing the energy storage elements’ dimensional parameters and their installation location. We designed a water jumping robot based on the optimized energy storage mechanism. The optimized robot prototype is manufactured with a weight of 95 g, and the length, width, and height of the robot are 260 mm, 150 mm, and 100 mm, respectively. It has the ability to take off from the water.

Original languageEnglish
Title of host publicationIntelligent Robotics and Applications - 16th International Conference, ICIRA 2023, Proceedings
EditorsHuayong Yang, Jun Zou, Geng Yang, Xiaoping Ouyang, Honghai Liu, Zhouping Yin, Lianqing Liu, Zhiyong Wang
PublisherSpringer Science and Business Media Deutschland GmbH
Pages224-236
Number of pages13
ISBN (Print)9789819964970
DOIs
StatePublished - 2023
Event16th International Conference on Intelligent Robotics and Applications, ICIRA 2023 - Hangzhou, China
Duration: 5 Jul 20237 Jul 2023

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume14273 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference16th International Conference on Intelligent Robotics and Applications, ICIRA 2023
Country/TerritoryChina
CityHangzhou
Period5/07/237/07/23

Keywords

  • Deformation-Force Model
  • Energy Storage Mechanism
  • Water Jumping Robot

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