The field of biohybrid systems represents one of the most advanced intersections in modern biomedical science, where living biological components such as cells, tissues, and engineered constructs are integrated with robotic architectures and artificial intelligence frameworks to form hybrid platforms capable of sensing, adapting, and responding to complex physiological environments in real time, operating across molecular signaling networks and tissue biomechanics within dynamic biological conditions. This discipline extends bioengineering by combining cellular biology, systems neuroscience, robotics, and computational intelligence into adaptive frameworks, enabling engineered constructs to exhibit emergent behaviors driven by biochemical signaling and algorithmic decision-making, where continuous feedback between biological and artificial components allows real-time optimization of performance, stability, and functional adaptation under variable environmental, metabolic, and m...