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An obstacle-avoiding and stiffness-tunable modular bionic soft robot

Published online by Cambridge University Press:  06 January 2022

Zhaoyu Liu
Affiliation:
Research Institute of Robotics, Shanghai Jiaotong University, Shanghai 200240, China
Yuxuan Wang
Affiliation:
Research Institute of Robotics, Shanghai Jiaotong University, Shanghai 200240, China
Jiangbei Wang
Affiliation:
Research Institute of Robotics, Shanghai Jiaotong University, Shanghai 200240, China
Yanqiong Fei*
Affiliation:
Research Institute of Robotics, Shanghai Jiaotong University, Shanghai 200240, China
Qitong Du
Affiliation:
Research Institute of Robotics, Shanghai Jiaotong University, Shanghai 200240, China
*
*Corresponding author. E-mail: fyq_sjtu@163.com
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Abstract

The aim of this work is to design and model a novel modular bionic soft robot for crawling and crossing obstacles. The modular bionic soft robot is composed of several serial driving soft modules, each module is composed of two parallel soft actuators. By analyzing the influence of working pressure and manufacturing size on the stiffness of the modular bionic soft robot, the nonlinear variable stiffness model of the modular bionic soft robot is established. Based on this model, the spatial states and design parameters of the modular bionic soft robot are discussed when the modular bionic soft robot can pass through the obstacle. Experiments show that when the inflation air pressure of the modular bionic soft robot is 70 kPa, its speed can reach 7.89 mm/s and the height of obstacles passed by it can reach 42.8 mm. The feasibility of the proposed modular bionic soft robot and nonlinear variable stiffness model is verified by locomotion experiments.

Information

Type
Research Article
Copyright
© The Author(s), 2022. Published by Cambridge University Press
Figure 0

Figure 1. The spatial view of the modular bionic soft robot.

Figure 1

Figure 2. Sectional view of air chambers. (a) Before inflating view and (b) after inflating view. (c) Top sectional view.

Figure 2

Table I. Manufacturing parameters of soft actuators.

Figure 3

Figure 3. Locomotion process of the modular bionic soft robot in one period.

Figure 4

Figure 4. Module 2 is the main motion module, (a) the model of the modular bionic soft robot and (b) the actual modular bionic soft robot.

Figure 5

Figure 5. (a) When the modular bionic soft robot moves, the displacement of the auxiliary motion module 1 changes with time, (b) when module 2 is the main motion module, the force analysis diagram of module 1 during inflation, (c) when module 2 is the main motion module, the force analysis diagram of auxiliary motion module 1.

Figure 6

Figure 6. Relationship between inflation pressure P of the modular bionic soft robot and the whole height H of the modular bionic soft robot.

Figure 7

Figure 7. Schematic diagram of height change of the modular bionic soft robot.

Figure 8

Figure 8. When module 1 or module 3 is the main motion module, (a) the model of the modular bionic soft robot and (b) the actual modular bionic soft robot.

Figure 9

Figure 9. (a) The relationship between the main motion module P and the minimum height H of the modular bionic soft robot (b) the relationship between the module size a, b, d and the inflation pressure P of the auxiliary motion module.

Figure 10

Figure 10. When the air pressure of the main motion module is 70 kPa and that of the auxiliary motion module is 0 kPa and 20 kPa, respectively, the height of the modular bionic soft robot passing through the obstacle.

Figure 11

Figure 11. Side view of the height of the modular bionic soft robot passing.