Multibody System Dynamics - Call for Papers: Special Issue on Artificial Intelligence within Multibody System Dynamics

Guest Editors: 
Johannes Gerstmayr, University of Innsbruck, Austria
Grzegorz Orzechowski, LUT University, Finland
Alessandro Tasora, University of Parma, Italy

CLOSED FOR SUBMISSIONS

Description
Due to the rapid progress in artificial intelligence, especially in the field of machine learning, robotics, neural networks, transformers, and generative networks, we would like to present advances in the field of multibody systems with this issue.

Contributions are welcome both related to theoretical, computational and experimental investigations in the field of multibody system dynamics with a focus on topics in the field of artificial intelligence, such as:

• Deep learning, reinforcement learning, machine learning;
• Neural networks in general (fully connected, convolutional, recurrent, transformers, autoencoders);
• Large language models (e.g., generative pre-trained transformers);
• Physics-informed neural networks and graph neural networks.

Submissions will undergo a regular peer review process in the journal of Multibody System Dynamics. The specific issue in this field will bring researchers closer together and shall boost the visibility within the multibody system dynamics community but also beyond.

How to submit
All submissions must be original and may not be under review by another publication. Interested authors should consult the journal’s “Submission Guidelines” (this opens in a new tab).

Articles can be submitted through SNAPP. 

All submitted papers will be reviewed on a peer review basis as soon as they are received. Accepted papers will become immediately available at Online First until the complete Special Issue appears.

All submissions will be handled as rigorously as regular submissions. 

Guest Editor Biographies
Johannes Gerstmayr is a professor of machine elements and design at University of Innsbruck, Austria. He received his doctoral degree in Technical Mechanics in 2001 at Johannes Kepler University, Linz. He teaches machine and mechatronic design, machine elements, multibody dynamics, robotics and machine dynamics in the mechatronics course. His main research interests lie in dynamics of flexible multibody systems, computational engineering, mobile and modular robotics and simulation software. He published more than 50 papers in peer-reviewed journals and is the past developer of multibody dynamics code HOTINT as well as the main developer of the Python based flexible multibody dynamics software EXUDYN.

Grzegorz Orzechowski is a post-doctoral researcher at LUT University, Finland. He received a doctoral degree in automation and robotics from the Warsaw University of Technology, Poland, in 2012. He teaches numerical methods in mechanics and machine learning methods in multibody applications. His main research interests include computational mechanics, studies of deformable models in challenging dynamical excitations, non-road machinery modeling, and reinforcement learning techniques in application to machine control. He is a member of the ASME Technical Committee on Multibody Dynamics.

Alessandro Tasora is an assistant professor at the University of Parma, where he teaches courses on applied mechanics, robotics, vehicle dynamics and design, and where he leads the Digital Dynamics Lab. He also teaches seminars at the Politecnico di Milano and he is a director of the Multibody Summer School initiative, held in Parma and Milano every year since 2016. His main research topics are theoretical mechanics and numerical methods for the simulation of mechanical systems; in this context he founded and developed the Chrono multibody simulation software, at the core of the open source ProjectChrono framework. He also designed and built robotic devices that led to patents and industrial applications. He is a member of the ASME Technical Committee on Multibody Dynamics.