INTRODUCTION: Epithelial ovarian cancer (EOC) is a significant global health concern. Early detection remains rare, with only 20% of cases identified at an early stage, highlighting the critical need for effective staging interventions METHODS: SLNB, enhanced by robotic technology, is demonstrated through two clinical case studies studies that show how robotic systems are used to meticulously identify and map sentinel nodes, focusing on procedural specifics and fluorescence-guided node identification. The article synthesizes insights from recent studies DISCUSSION: We examine SLNB through retroperitoneal and transperitoneal approaches, highlighting technical aspects and the benefits of robotic assistance over conventional laparoscopy, such as improved precision and ergonomics. A recent analysis and meta-analysis CONCLUSION: SLNB, particularly with robotic assistance, shows promise for improving accuracy and reducing morbidity in epithelial ovarian cancer. However, its use remains limited to clinical trials. Future studies should focus on developing standardized protocols to achieve consistent results and provide sufficient evidence for its integration into routine clinical practice.