Locust-Inspired Timing Strategy for Wing Deployment in Jump-Fly Robots

Yunhao Si*, Yanzhou Jin, Chengcheng Jing, Zhiqiang Yu, Toshio Fukuda, Qing Shi

*Corresponding author for this work

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

Abstract

Small-scale robots often face challenges in traversing terrains of different scales. The combination of jumping and flying motion can enhance their obstacle-surmounting ability, and the timing of wing deployment undoubtedly plays a critical role in their jump-fly performance. However, previous studies of jump-fly robots have deployed wings speculatively at the highest point of the jump trajectory, resulting in suboptimal locomotion distance. In this study, we characterized the jump-fly motion of locusts and found that wing deployment timing is regulated by both airspeed and body angle. To verify the effect of this discovery on jump-fly robot motion, we constructed a jump-fly robot model in MATLAB and found that deploying wings based on the discovered airspeed-body angle relationship results in the farthest locomotion distance. Our findings provide valuable insights for improving the locomotion ability of jump-fly robots.

Original languageEnglish
Title of host publicationProceedings of the 2023 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages44-50
Number of pages7
ISBN (Electronic)9798350327182
DOIs
Publication statusPublished - 2023
Event2023 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2023 - Datong, China
Duration: 17 Jul 202320 Jul 2023

Publication series

NameProceedings of the 2023 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2023

Conference

Conference2023 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2023
Country/TerritoryChina
CityDatong
Period17/07/2320/07/23

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