Modern intelligent systems emerge from the integration of control theory, mechanical design, embedded intelligence, sensing, and perception. The convergence of control, mechatronics, robotics, and machine vision defines a new generation of autonomous and semi-autonomous systems capable of interacting robustly with complex physical environments. These systems increasingly operate across industrial, medical, agricultural, urban, and exploratory domains.

Advances in sensing technologies, real-time computation, machine learning, and adaptive control have expanded the boundaries of what physical systems can perceive, decide, and execute. Robotics is no longer isolated mechanical automation; it is perception-driven, data-informed, and increasingly cognitive. Mechatronic systems are becoming adaptive platforms where software intelligence and physical dynamics co-evolve.

This conference provides a forum for researchers and practitioners to explore theoretical foundations, algorithmic advances, system architectures, and real-world applications across control engineering, mechatronic integration, robotic systems, and machine vision. It aims to foster cross-disciplinary dialogue and accelerate innovation at the intersection of physical systems and intelligent computation.

Professionals from industry, government, and academia, researchers, engineers, practitioners, and students are invited to contribute. CMRMV welcomes 1) full papers presenting significant research, development, application, position, or survey, 2) short papers on work-in-progress, 3) posters, 4) contributed talk presentations, as well as workshops, thematic sessions, and demos.

Prospective authors are invited to submit original, unpublished works, which are not under review in any other conference or journal. Topics of interest include, but are not limited to, the following.