Institute of Robotics, Shanghai Jiaotong University , Shanghai, P.R. China .
Soft Robot. 2018 Feb;5(1):71-80. doi: 10.1089/soro.2017.0042. Epub 2017 Oct 12.
This article presents the structure, design, and motion control of an inchworm inspired pneumatic soft robot, which can perform differential movement. This robot mainly consists of two columns of pneumatic multi-airbags (actuators), one sensor, one baseboard, front feet, and rear feet. According to the different inflation time of left and right actuators, the robot can perform both linear and turning movements. The actuators of this robot are composed of multiple airbags, and the design of the airbags is analyzed. To deal with the nonlinear performance of the soft robot, we use radial basis function neural networks to train the turning ability of this robot on three different surfaces and create a mathematical model among coefficient of friction, deflection angle, and inflation time. Then, we establish the closed-loop automatic control model using three-axis electronic compass sensor. Finally, the automatic control model is verified by linear and turning movement experiments. According to the experiment, the robot can finish the linear and turning movements under the closed-loop control system.
本文介绍了一种仿尺蠖气动软体机器人的结构、设计和运动控制,该机器人可以实现差动运动。该机器人主要由两列气动多气袋(执行器)、一个传感器、一个基板、前足和后足组成。根据左右执行器充气时间的不同,机器人可以进行直线和转向运动。机器人的执行器由多个气袋组成,并对气袋的设计进行了分析。为了处理软体机器人的非线性性能,我们使用径向基函数神经网络来训练机器人在三种不同表面上的转向能力,并在摩擦系数、偏转角和充气时间之间创建数学模型。然后,我们使用三轴电子罗盘传感器建立闭环自动控制模型。最后,通过直线和转向运动实验验证了自动控制模型。根据实验结果,机器人可以在闭环控制系统下完成直线和转向运动。