[meetings] CASE 2025 workshop on Data Driven Modelling and Control for Marine Robots

[Corina Barbalata]

Call for Papers: CASE 2025 workshop on Data Driven Modelling and Control for Marine Robots

Submission Link: https://docs.google.com/forms/d/e/1FAIpQLSd28soxYs7s-25TqnvuouRu7Nl0oGzjpTkLq9tCZ0mJzVYbYw/viewform

Workshop Link: https://sites.google.com/view/d2mc4robotics/home

Conference Link:https://2025.ieeecase.org/

Dear Colleagues, 

We are happy to announce that during CASE'25 we will host an workshop on data driven modelling and control for marine robotics. 

Data-driven modelling and control are essential for advancing marine robotics, where complex, uncertain, and dynamic underwater environments make traditional physics-based approaches insufficient. By learning system behaviour directly from sensor data, data-driven methods enable accurate modelling of nonlinear dynamics, adaptive control in changing conditions, and improved performance in tasks such as navigation, path tracking, and disturbance rejection. These techniques also support autonomy, multi-sensor fusion, and fault tolerance, making them critical for long-duration, resilient marine robotic missions.

This workshop will take place on August 21st, as part of the CASE’25 workshop program. This workshop is planned to be in-person mode. More details regarding the workshop is https://sites.google.com/view/d2mc4robotics/home

We invite researchers to submit work that advances marine robotics, underwater applications, and data driven modelling and control approaches for these robots and applications.  While our main focus is on data-driven modelling and control, we also welcome contributions that inform or enhance marine robotics. Authors are encouraged to describe their research pipelines, including how and where their methods are tested (e.g., in simulation, field trials, or hybrid approaches), and to demonstrate relevance to practical marine or underwater applications.

Potential topics include (but are not limited to):

• System identification

• Parameter estimation

• Machine learning/black box modelling

• Adaptive control

• Learning controllers

  
  

Important dates:

• Contributed Talk Abstract Submission Deadline: July 21, 2025 by 11:59:59 PDT. 

• Notification of Acceptance: August 1, 2025

• Workshop date: August 21, 2025

Submission link: https://docs.google.com/forms/d/e/1FAIpQLSd28soxYs7s-25TqnvuouRu7Nl0oGzjpTkLq9tCZ0mJzVYbYw/viewform

Organizing committee:

• Gerald Eaglin, Louisiana State University
• Gideon Billings, The University of Sydney
• Ignacio Carlucho, Heriot-Watt University
• Edward Morgan, Louisiana State University
• Corina Barbalata, Louisiana State University

Corina Barbalata, PhD

Assistant Professor
Department of Mechanical and Industrial Engineering
Louisiana State University
3290D PFT Hall, Baton Rouge, LA  70803, USA
office +1 225-578-4509
https://cbarbalata.com/ | www.lsu.edu/eng/mie/