Kinematic Analysis of Novel Soft Robotic Arm Based on Virtual Work Principle

In order to improve the motion accuracy of a novel soft robotic arm with extensive degree of freedom, the kinematic model is established. Firstly, a soft robotic arm composed of two single modules is designed. Each single module contains two extension pneumatic silicone actuators (EPSAs). Secondly, the kinematic model of the EPSA is established based on the superelastic material model, the geometric relationship and the virtual work principle. Then, the kinematic model of the single module is established based on the kinematic model of the EPSA and the constant curvature assumption. Next, the kinematic model of the soft robotic arm is established by using the Frenet frame. Finally, the numerical simulation is carried out based on the Obtained kinematic model. In order to verify and modify the above kinematic model, the numerical experiment is carried out based on the finite element method. The results of the two numerical experiments show that the modified kinematic model is almost identical to the finite element model, which indicates the feasibility of this modeling method and the accuracy of the established kinematic model. This study provides the necessary kinematic foundation for the control of a soft robotic arm.

[1]  P. Polygerinos,et al.  Mechanical Programming of Soft Actuators by Varying Fiber Angle , 2015 .

[2]  Robert J. Wood,et al.  A Resilient, Untethered Soft Robot , 2014 .

[3]  Robert J. Wood,et al.  Modeling of Soft Fiber-Reinforced Bending Actuators , 2015, IEEE Transactions on Robotics.

[4]  J. Gwinner Non-linear elastic deformations , 1988 .

[5]  Christopher D. Rahn,et al.  Geometrically Exact Models for Soft Robotic Manipulators , 2008, IEEE Transactions on Robotics.

[6]  Charles Kim,et al.  Design of soft robotic actuators using fluid-filled fiber-reinforced elastomeric enclosures in parallel combinations , 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[7]  Tianjiang Zheng,et al.  Design, modeling and control of a pneumatically actuated manipulator inspired by biological continuum structures , 2013, Bioinspiration & biomimetics.

[8]  Liu Zheng-wei FEA of hyperelastic rubber material based on Mooney-Rivlin model and Yeoh model , 2008 .

[9]  AmendJohn,et al.  Soft Robotics Commercialization: Jamming Grippers from Research to Product. , 2016 .

[10]  George M. Whitesides,et al.  Towards a soft pneumatic glove for hand rehabilitation , 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[11]  O. Yeoh Some Forms of the Strain Energy Function for Rubber , 1993 .

[12]  Yang Yang,et al.  Passive Particle Jamming and Its Stiffening of Soft Robotic Grippers , 2017, IEEE Transactions on Robotics.

[13]  Wang Hua,et al.  Design and modeling of a soft bending actuator , 2017 .

[14]  Blake Hannaford,et al.  Fatigue characteristics of McKibben artificial muscle actuators , 1998, Proceedings. 1998 IEEE/RSJ International Conference on Intelligent Robots and Systems. Innovations in Theory, Practice and Applications (Cat. No.98CH36190).

[15]  S. Misra,et al.  Three-Dimensional Needle Shape Reconstruction Using an Array of Fiber Bragg Grating Sensors , 2014, IEEE/ASME Transactions on Mechatronics.

[16]  Koichi Suzumori,et al.  A Bending Pneumatic Rubber Actuator Realizing Soft-bodied Manta Swimming Robot , 2007, Proceedings 2007 IEEE International Conference on Robotics and Automation.

[17]  Ian D. Walker,et al.  Dynamic Modelling for Planar Extensible Continuum Robot Manipulators , 2007, Proceedings 2007 IEEE International Conference on Robotics and Automation.