Modeling and simulation of dynamics in soft robotics: A review of numerical approaches

L Qin, H Peng, X Huang, M Liu, W Huang - Current Robotics Reports, 2024 - Springer
Purpose of review In this review, we briefly summarize the numerical methods commonly
used for the nonlinear dynamic analysis of soft robotic systems. The underlying mechanical …

Towards data-driven modeling for complex contact phenomena via self-optimized artificial neural network methodology

J Ma, J Wang, Y Han, S Dong, L Yin, Y **ao - Mechanism and Machine …, 2023 - Elsevier
In recent years, various physics-based contact force models have been proposed for
describing contact/impact phenomena in different engineering domains. However …

Data-driven modeling for complex contacting phenomena via improved neural networks considering link switches

J Ma, J Wang, J Peng, L Yin, S Dong, J Tang - Mechanism and Machine …, 2024 - Elsevier
Recent years saw tremendous developments of data-driven modeling in various
engineering fields. As for the contact modeling between complex surfaces, the utilization of …

A mechanistic-based data-driven approach for general friction modeling in complex mechanical system

H Peng, N Song, F Li, S Tang - Journal of Applied …, 2022 - asmedigitalcollection.asme.org
The effect of friction is widespread around us, and most important projects must consider the
friction effect. To better depict the dynamic characteristics of multibody systems with friction …

[HTML][HTML] Exploring Modeling Techniques for Soft Arms: A Survey on Numerical, Analytical, and Data-Driven Approaches

S Liu, H Yu, N Ding, X He, H Liu, J Zhang - Biomimetics, 2025 - mdpi.com
Soft arms, characterized by their compliance and adaptability, have gained significant
attention in applications ranging from industrial automation to biomedical fields. Modeling …

A rapidly trained DNN model for real-time flexible multibody dynamics simulations with a fixed-time increment

MS Go, YB Kim, JH Park, JH Lim, JG Kim - Engineering with Computers, 2024 - Springer
This study presents an efficient fixed-time increment-based approach for a data-driven
analysis of flexible multibody dynamics (FMBD) problems, combining deep neural network …

Squeak and rattle analysis of automotive interiors considering contact nonlinearity

T Li, P Li, D Jiang, B Qiu - SAE International Journal of Vehicle Dynamics …, 2023 - sae.org
In order to improve the squeak and rattle (S&R) performance level of automotive interiors,
the contact nonlinear characteristics of structural components need to be considered when …

Soft robot fast simulation via reduced order extended position based dynamics

H Peng, N Li, D Jiang, F Li - Robotics and Autonomous Systems, 2024 - Elsevier
Simulating a soft robot model is challenging because of large deformations and lots of
degrees of freedom. In this study, a novel fast simulation framework for soft robots is created …

A parametric flexible multibody formulation with an explicit dependency on material properties

CE Capalbo, D De Gregoriis, T Tamarozzi… - … and Machine Theory, 2024 - Elsevier
Accurate numerical models are pivotal throughout the design and whole operation life cycle
of a mechanical system. Ideally, such models should be efficient in terms of both their …

[HTML][HTML] A data-driven reduced-order modeling approach for parameterized time-domain Maxwell's equations

M Yu, K Li - Networks and Heterogeneous Media, 2024 - aimspress.com
This paper proposed a data-driven non-intrusive model order reduction (NIMOR) approach
for parameterized time-domain Maxwell's equations. The NIMOR method consisted of fully …