Kinematics Analysis and Gait Study of Bionic Turtle Crawling Mechanism

Author:

Wang Zhuo1ORCID,Peng Wanlang1,Zhang Bo1ORCID

Affiliation:

1. College of Mechanical and Electrical Engineering, Harbin Engineering University, Harbin 150001, China

Abstract

Longer distance water delivery culverts pose obstacles such as deposited silt, stones, and dead trees. In this paper, a crawling robot is designed to mimic the joint structure of a turtle using bionic design principles. The mechanism and gait of the robot are analyzed. The kinematics model of the robot is established using the D-H method and analytical approach, while the dynamics model is established using Lagrange’s method. Based on kinematics and dynamics analysis theory, compound cycloid and cubic polynomial motion trajectories for the robot foot are planned along with a crawling gait resembling that of a turtle’s abdomen. Simulation experiments and scale prototype experiments confirm that when gait parameters are identical, the energy consumption of compound cycloid trajectory exceeds that of cubic polynomial foot trajectory. When planning these two types of foot trajectories, it was observed that energy consumption ratio decreases with increasing step length but increases with increasing step height.

Funder

National Natural Science Foundation of China

Publisher

MDPI AG

Reference32 articles.

1. Research progress and development trend of footed crawling robots;Chen;J. Arms Equip. Eng.,2020

2. Zhao, R. (2016). Research on Gait Planning of Quadruped Robot and Its Optimization Method. [Master’s Thesis, Beijing University of Technology].

3. Current status and outlook of quadrupedal robot development;Meng;Sci. Technol. Her.,2015

4. Foot force based reactive stability of multi-legged robots to external perturbations;Mahdi;J. Intell. Robot. Syst.,2016

5. Legged robots—An overview;Liu;Trans. Inst. Meas. Control.,2007

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