Ultrasound (US) imaging has been widely applied in different clinical scenarios thanks to its low-cost and non-radiative nature. Recently, robotic US has increasingly become a technology to produce 3D US reconstructions for navigation during surgical interventions. It is considered a promising technology to address variable skills among human sonographers. Dedicated control strategies are needed to ensure high-quality US reconstructions that are comparable or superior to those generated by human experts. The robot controller ought to establish human-like scanning maneuvers while maintaining tight skin contact and ensuring essential safety. In essence, this means that at all times, the robot should avoid applying excessive force on the patient. Therefore, a comparative study on the admittance-based controllers was conducted while a semi-automatic path planning approach was used to realize automatic US scanning. The developed system was validated by scanning a synthetic phantom, compared with position and admittance control. The robotic US system with the proposed control applied a force lower than 3.83 ± 0.31 N while ensuring continuous US imaging. By defining the successful rate as the US image has more than 90% of soft tissue (i.e., ligament) length, the velocity-based admittance controller has more than 80% successful US imaging. Such an approach could contribute to the further development and uptake of robotic US systems in spine surgery and possibly beyond.