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J4 ›› 2016, Vol. 13 ›› Issue (4): 558-571.doi: 10.1016/S1672-6529(16)60328-1

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Analysis and Comparison of Two Jumping Leg Models for Bioinspired Locust Robot

Ziqiang Zhang, Diansheng Chen, Kewei Chen, Hanlong Chen   

  1. School of Mechanical Engineering and Automation, Beihang University, Beijing 100191, China
  • Received:2016-03-05 Revised:2016-09-05 Online:2016-10-10 Published:2016-10-10
  • Contact: Diansheng Chen E-mail:chends@163.com
  • About author:Ziqiang Zhang, Diansheng Chen, Kewei Chen, Hanlong Chen

Abstract:

Bionic jumping robot can cross the obstacles by jumping, and it has a good application prospect in the unstructured complex environment. The less Degree of Freedom (DOF) jumping leg, which has the characteristics of simple control and high rigidity, and is very important in research. Based on the experimental observation of leg physiological structure and take-off process of locust, two 1 DOF jumping leg models, which includes four-bar jumping leg model and slider-crank jumping leg model, are established, and multi objective optimization is conducted to deduce the motion law of two 1 DOF jumping leg models and jumping leg of locust is closer. Then the jumping performance evaluation indices are proposed, which include the mechanical property, body attitude, jumping distance and environmental effect. According to these evaluation indices, the jumping performances of the two jumping leg models are analyzed and compared, and the simulation is conducted for further explanations. The analysis results show that the four-bar jumping leg has smaller structural size and its motion law is closer to the hindleg of locust. The slider-crank jumping leg has better mechanical property, stronger energy storage capacity and the rough ground has less effect on it. This study offers a quantitative analysis and comparison for different jumping leg models of bionic locust jumping robot. Furthermore, a theoretical basis for future research and engineering application is established.

Key words: bionic locust robot, jumping leg model, parameter optimization, jumping performance, comparison study