학술논문

Comprehensive Gradient Computation Framework of PCS Model for Soft Robot Simulation
Document Type
Periodical
Source
IEEE Robotics and Automation Letters IEEE Robot. Autom. Lett. Robotics and Automation Letters, IEEE. 9(6):5990-5997 Jun, 2024
Subject
Robotics and Control Systems
Computing and Processing
Components, Circuits, Devices and Systems
Mathematical models
Strain
Dynamics
Computational modeling
Vectors
Deformation
Soft robotics
Modeling
control
and learning for soft robots
dynamics
simulation and animation
Language
ISSN
2377-3766
2377-3774
Abstract
Dynamic simulation of soft and flexible bodies is important for the motion planning and control of soft robot systems. This study presents a fast real-time simulation of the piecewise constant strain (PCS) model proposed in soft robotics research to calculate the dynamics of a beam or rod structure. We extend the theory of comprehensive motion transformation matrix (CMTM) to the PCS model, which allows us to systematically calculate the gradients in the equations of motion. Using the dynamic gradient, we perform a dynamic simulation of the PCS model via implicit integration. Compared to explicit integration, implicit integration allows us to use a larger time-step width for the integration without a flexible deformation divergence, which decreases the computational time. We present several examples of dynamic simulations, including a relatively rigid material such as carbon-fiber-reinforced plastics used in a leaf-spring-type sports prosthesis.