Core Viewpoint - Autonomous surgical robots are gaining global attention due to technological advancements and clinical needs, with the potential to revolutionize surgical procedures by enabling robots to make independent decisions during operations [1][2]. Definition and Understanding - Autonomous surgical robots are defined as robotic systems capable of performing surgical tasks independently, integrating advanced AI technologies for perception, decision-making, and task execution [2][3]. Technical Aspects - The goal of autonomous surgical robots is to enhance surgical precision, safety, and efficiency while reducing reliance on direct human intervention, ultimately allowing the robots to learn from experience and adapt to new situations [3][5]. Development and Progress - The SRT-H robot developed by Johns Hopkins University has demonstrated a 100% accuracy rate in recent surgeries, although it takes longer than human surgeons, indicating significant progress in autonomous surgical capabilities [5][9]. Classification System - The classification of autonomous surgical robots follows a tiered system from 0 to 5, where level 3 autonomy is currently the target for research, allowing robots to assist surgeons while still under human supervision [6][7]. Global Landscape - The development of autonomous surgical robots is uneven globally, with institutions like the University of North Carolina at Wilmington leading the way with their STAR system, which has shown superior precision and stability in animal trials [9][10]. Challenges and Limitations - Despite advancements, challenges remain in core technologies, particularly in perception, decision-making, and execution accuracy, along with the need for ethical standards and clinical validation [15][16]. Future Outlook - The future of autonomous surgical robots looks promising with advancements in AI, micro-manufacturing, and the potential for integration with technologies like 5G and cloud computing, which could enhance surgical quality and efficiency [16].