A Locust-Inspired Robot Capable of Continuous Crawl–Jump–Gliding Locomotion With Optimized Transitional Control

Locusts have various motion modes among which they continuously switch in terrestrial and aerial domains, hence achieving high environmental adaptability. Several robots have been developed to mimic the jump–gliding locomotion of locusts, but their mobility and transitional stability are limited because of structural and control limitations at a small scale. In this article, we develop a small-scale locust-inspired robot (LocustBot) that can not only jump and glide but also crawl. We propose a coordinately actuated mechanism that allows LocustBot to perform jump–gliding with few actuators. To achieve the stable and long-distance moving, a reinforcement-learning-based optimized control is used to generate then track the robot's position and orientation from take-off to landing. The jump–gliding distance of LocustBot reaches 5.39 m, revealing a high-energy utilization efficiency of the mobile strategy, which combines the spring-driven jumping with the propeller-driven gliding. Remarkably, without a high platform, the robot can still achieve a far moving range by continuous crawl–jump–gliding on horizontal planes and, thus, outperforms the state-of-art jump–gliding robots.

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Publication Details

Journal
IEEE Transactions on Robotics
Published
2024-11-19
DOI
https://doi.org/10.1109/tro.2024.3502192
Citations
18
Primary Topic
Robotic Path Planning Algorithms
Type
article
Field-Weighted Citation Impact
4.49

Funders

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article

A Locust-Inspired Robot Capable of Continuous Crawl–Jump–Gliding Locomotion With Optimized Transitional Control

Qing Shi, Yulai Zhang, Yi Xu, Qijie Zhou et al.
18 citations
IEEE Transactions on Robotics
Robotic Path Planning Algorithms
4.49
article

A Locust-Inspired Robot Capable of Continuous Crawl–Jump–Gliding Locomotion With Optimized Transitional Control

Qing Shi, Yulai Zhang, Yi Xu, Qijie Zhou, Qi Li, Peng Liang
article en
18 citations

Abstract

Locusts have various motion modes among which they continuously switch in terrestrial and aerial domains, hence achieving high environmental adaptability. Several robots have been developed to mimic the jump–gliding locomotion of locusts, but their mobility and transitional stability are limited because of structural and control limitations at a small scale. In this article, we develop a small-scale locust-inspired robot (LocustBot) that can not only jump and glide but also crawl. We propose a coordinately actuated mechanism that allows LocustBot to perform jump–gliding with few actuators. To achieve the stable and long-distance moving, a reinforcement-learning-based optimized control is used to generate then track the robot's position and orientation from take-off to landing. The jump–gliding distance of LocustBot reaches 5.39 m, revealing a high-energy utilization efficiency of the mobile strategy, which combines the spring-driven jumping with the propeller-driven gliding. Remarkably, without a high platform, the robot can still achieve a far moving range by continuous crawl–jump–gliding on horizontal planes and, thus, outperforms the state-of-art jump–gliding robots.

IEEE Transactions on RoboticsVol. 41
Beijing Institute of Technology (CN)
National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 4%
Robotic Path Planning Algorithms
4.49
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