Co-Organizer 1:

Name: Oleg Sergiyenko

Email: [email protected]

Affiliations: Engineering Institute of Autonomous University of Baja California

Co-Organizer 2:

Name: Paolo Mercorelli

Email: [email protected]

Affiliations: Institute for Production Technology and Systems- IPTS Leuphana University of Lueneburg

Co-Organizer 3:

Name: Julio C. Rodríguez-Quiñonez

Email: [email protected]

Affiliations: Engineering Faculty of Autonomous University of Baja California

Co-Organizer 4:

Name: Vikrant Bhateja

Email: [email protected]

Affiliations: Shri Ramswaroop Memorial Group of Professional Colleges (SRMGPC)

Co-Organizer 5:

Name: Wendy Flores-Fuentes

Email: [email protected]

Affiliations: Engineering Faculty of Autonomous University of Baja California

Co-Organizer 6:

Name: Moises J. Castro-Toscano

Email: [email protected]

Affiliations: Engineering Faculty of Autonomous University of Baja California

Theme:

This special session is related to machine vision, control, and navigation. Its development with machine learning and deep learning has attracted great interest in industrial applications. In this context, newer and more effective vision systems and deep learning approaches have become an essential part of the state-of-the-art automatic techniques in all their aspects, such as control, sensing, communication, and navigation applications. The aim is to present and highlight novel applications, methods, architectures, and techniques for machine vision, control, and navigation tasks in the engineering and research domain. Any contribution to these fields is welcome in this SS.