Hybrid Inspired Research on the Flying-Jumping Locomotion of Locusts Using Robot Counterpart

Autor: Zhaoxin Li, Zheng Shuqin, Dunwen Wei, Cong Zhou, Xiaojuan Mo, Gao Tao
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: Frontiers in Neurorobotics, Vol 13 (2019)
Frontiers in Neurorobotics
ISSN: 1662-5218
DOI: 10.3389/fnbot.2019.00087
Popis: Locusts are a kind of agile insects that can move and maneuver so efficiently in the unstructured terrain and complex environment. This marvel survivability of locusts benefits from their flying-jumping multi-modal locomotion. But until recently, the main influences of the locomotion performance are still a controversial and unknown issue. In this paper, the idea of hybrid inspired method that combines biologically inspired robot with robot inspired biology was proposed to explore the principle of flying-jumping locomotion of locusts. Firstly, we analyzed the influence of leg burrs and flapping wings on the jumping performance by the biological experiments. Nevertheless, individual heterogeneity and uncontrollability of locusts result in the unconvincing results of biological experiments. Therefore, according to the thought of robotics-inspired biology, we proposed and built a locust-inspired robot with flying-jumping locomotion via the principle of metamorphic mechanism based on the biological-inspired robot. Lastly, the preliminary robotic experiments were carried out to validate our thought that the flapping wings and leg burrs of locust have a great influence on the jumping performance. This robotics-inspired biology method remedied the shortcomings of biological experiments through the consistency and controllability of the robot experiments. Meanwhile, through the hybrid inspired research, the results show both the leg burrs and flapping wings can help the locust jump longer and improve the stability by adjusting the landing attitude to some extent, while the biological experiments dedicate that the locust with leg burrs and wings have the self-stability ability.
Databáze: OpenAIRE