Transoral robotic surgery (TORS) offers functional advantages in head and neck surgery but faces limitations including tissue deformation, deep margins, and lack of haptic feedback. This study evaluated an image-guided navigation (NAV) system designed to enhance localization accuracy in a porcine-based TORS simulation model. Eight participants—including ENT attendings, residents, and medical students—performed paired localization tasks with and without NAV in a randomized crossover design. Use of NAV significantly improved accuracy (p = 0.012) without prolonging task duration. Operator confidence ratings favored the NAV-assisted trials, and cognitive workload trended lower with navigation support. Image overlays integrated directly into the endoscopic field facilitated precise needle-to-target alignment. Future work will incorporate augmented-reality guidance and refine registration frameworks. These results support the potential of NAV-enhanced TORS workflows to improve targeting precision during minimally invasive head and neck procedures.