This Reprint brings together fifteen contributions showcasing recent advances in autonomous systems and artificial intelligence. The collected studies highlight progress in robotics, perception, machine learning, sensor fusion, human-machine interaction, optimization, and data-driven control. The papers cover a wide range of applications, from mobile and assistive robotics to energy management, transportation safety, teleoperation, and intelligent monitoring. Across these studies, a common theme emerges: the shift toward robust, explainable, and human-centered autonomy capable of operating reliably in complex real-world environments. The authors present innovative methodologies that integrate physical modeling with learning-based techniques, enabling stronger adaptability and higher performance. This Reprint provides researchers, engineers, and practitioners with an overview of current directions in intelligent systems and offers valuable insights into emerging challenges, such as trust, safety, interpretability, and sustainable deployment. It reflects the increasing maturity of autonomous technologies and their growing impact on science, industry, and society.

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