A trajectory planning method for sprawling robot inspired by a trotting animal

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• 作者：Hongkai Li ; Aiju Shi ; Zhendong Dai
• 关键词：Inter ; limb coordination ; Intra ; limb coordination ; Statistic analysis ; Quadruped robot ; Trajectory planning
• 刊名：Journal of Mechanical Science and Technology
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：31
• 期：1
• 页码：327-334
• 全文大小：
• 刊物类别：Engineering
• 刊物主题：Mechanical Engineering; Vibration, Dynamical Systems, Control; Industrial and Production Engineering;
• 出版者：Korean Society of Steel Construction
• ISSN：1976-3824
• 卷排序：31

文摘

Motion coordination is a key factor affecting the stability and efficiency of robots. Such coordination involves the intra-limb coordination between each motion stage of a single leg and the inter-limbs coordination among all legs. The motion behaviors of animals, which have developed over a long period of evolution, offer good prototypes for the motion control of robots. In this paper, the locomotion of a quadruped sprawling animal (i.e., gecko) trotting on a horizontal surface was observed, and the feet trajectories around the hip on the same side were analyzed by statistical analysis and curve fitting. Results showed that feet on stance phase maintain the same speed to satisfy the requirement of inter-limb coordination. In swing phase, feet speed decreases from the moving speed to zero at the beginning and increases from zero to the desired speed in the next step at the end. The feet accomplish the transition from the backmost to the foremost position along a smooth curve that can be fit by a cosine function, which has good kinematic and dynamic characters. A foot trajectory planning method for robots was proposed based on the experiment results, which offered references not only for the foot trajectory planning of robots to realize intra-limb coordination but also for the inter-limbs coordination between stance feet during locomotion. Finally, the motion of a sprawling robot is simulated by using the bio-inspired trajectories to show the performance and benefits of the proposed method.