Robotic Systems for Minimally Invasive Surgery: Enhancing Precision, Safety, And Real-Time Feedback Through Industry 4.0 And 5.0

摘要

Minimally invasive surgery (MIS) has become the standard of care in many clinical specialties due to its ability to reduce trauma, shorten recovery times, and improve overall patient outcomes. The integration of robotic systems into MIS has further enhanced these benefits by increasing precision, dexterity, and consistency. However, conventional robotic platforms remain limited in their capacity to provide surgeons with natural tactile feedback, advanced decision support, and seamless real-time communication between human operators and robotic systems. These limitations are being addressed through the technological revolutions of Industry 4.0 and Industry 5.0. Industry 4.0 technologies such as artificial intelligence, computer vision, big data analytics, and the Internet of Things enable predictive monitoring, enhanced autonomy, and continuous performance assessment. Building on this digital foundation, Industry 5.0 emphasizes human–robot collaboration, personalization, and surgeon-centered innovation, fostering a balance between automation and human expertise. This paper explores how robotic systems for MIS are being reshaped through the convergence of these industrial paradigms. A structured analysis of advancements in haptic feedback, tactile sensing, and force monitoring demonstrates how precision can be significantly improved. The integration of computer vision and surgical data science is shown to strengthen safety through error detection and predictive analytics. Furthermore, case studies of leading robotic platforms highlight how real-time feedback loops enhance surgeon decision-making and patient outcomes. The paper also proposes a conceptual framework for aligning Industry 4.0 digitalization with Industry 5.0 human-centric design, providing a pathway for the next generation of robotic surgery. By bridging technological innovation with clinical application, this study emphasizes the transformative potential of robotic systems in MIS. It argues that the convergence of Industry 4.0 and 5.0 will not only redefine surgical precision and safety but also establish a future where real-time, surgeon-guided feedback and intelligent robotics become central to surgical practice. Ultimately, robotic surgery is positioned as a cornerstone of next-generation healthcare, combining automation with human expertise to achieve superior outcomes.