Kinematic modelling and experimental testing of a particle-jamming soft robot based on a DEM-FEM coupling method.

Journal: Bioinspiration & biomimetics
Published Date:

Abstract

Particle-jamming soft robots are characterised by high flexibility in motion and high stiffness when executing a task. Regarding particle jamming of soft robots, the discrete element method (DEM)-finite element method (FEM) coupling was used for modelling and control. At first, a real-time particle-jamming soft actuator was proposed by integrating advantages of the driving Pneu-Net and the driven particle-jamming mechanism. Then, DEM and FEM were separately employed to determine the force-chain structure of the particle-jamming mechanism and the bending deformation performance of the pneumatic actuator. Furthermore, the piecewise constant curvature method was adopted for forward and inverse kinematic modelling of the particle-jamming soft robot. Finally, a prototype of the coupled particle-jamming soft robot was prepared, and a visual tracking test platform was established. The adaptive control method was proposed to compensate for the accuracy of motion trajectories. The variable-stiffness performance of the soft robot was verified by conducting stiffness tests and bending tests. The results provide novel theoretical and technical support for the modelling and control of variable-stiffness soft robots.

Authors

  • Fengyu Xu
    Jiangsu Engineering Lab for IOT Intelligent Robots (IOTRobot), College of Automation, Nanjing University of Posts and Telecommunications, Nanjing 210003, People's Republic of China.
  • Kaiwei Ma
    College of Automation & College of Artificial Intelligence, Nanjing University of Posts and Telecommunications, Nanjing, 210023, China. makaiwei@live.com.
  • Quansheng Jiang
    School of Mechanical Engineering, Suzhou University of Science and Technology, Suzhou 215009, People's Republic of China.
  • Guo-Ping Jiang
    School of Automation, Nanjing University of Posts and Telecommunications, Nanjing 210023, China.