Minimally invasive surgery (MIS) has become the clinical gold standard for many procedures due to its ability to reduce tissue trauma, postoperative pain, and recovery time. In MIS, endoscopic imaging provides the primary visual interface with the surgical field and is traditionally controlled by a human camera assistant. While this approach remains the standard for surgical visualization, manual camera control can introduce ergonomic fatigue, workflow interruptions, and visual instability, ultimately affecting surgical efficiency and team coordination. This thesis presents a deterministic, autonomous tracking method based on the KUKA LBR Med collaborative robot. The objective is to autonomously orient the endoscopic camera and provide a stable, responsive field of view of the surgical instrument while strictly preserving the trocar geometric constraint.