Robotic surgery as signal streams: rethinking the interface between human intent and machine intelligence

Over the past three decades, robotic surgery has evolved from a speculative frontier into a global medical enterprise. Its growth has paralleled—and at times driven—advances in computational sensing, actuator precision, and real-time signal processing. Yet the dominant narrative of robotic surgery remains centered upon its mechanics: 3-dimensional vision, articulated precision instruments, and millimetric keyhole entry. Moreover, progress in surgery has been grossly oversimplified; classified by the method of access through the abdominal wall (e.g., open versus minimally invasive). While such advances are important, their focus risks obscuring a deeper context. At its core, robotic surgery is not merely a technological refinement of traditional operative technique; it is the translation of human biomechanical intention into digital signals, computationally filtered and re-expressed through machine behavior. In this sense, robotic surgery is best understood not as a set of tools but as an information architecture—one that encodes intent, motion, and anatomical reality into streams of data. It is for this reason that robotics fundamentally differs from laparoscopy; the two should not be conflated.