Contemporary progress in the field of robotics, marked by improved efficiency and stability, has paved the way for the global adoption of surgical robotic systems (SRS). While these systems enhance surgeons' skills by offering a more accurate and less invasive approach to operations, they come at a considerable cost. Moreover, SRS components often involve heavy machinery, making the training process challenging due to limited access to such equipment. In this paper we introduce a cost-effective way to facilitate training for a simulator of a SRS via a portable, device-agnostic, ultra realistic simulation with hand tracking and feet tracking support. Error assessment is accessible in both real-time and offline, which enables the monitoring and tracking of users' performance. The VR application has been objectively evaluated by several untrained testers showcasing significant reduction in error metrics as the number of training sessions increases. This indicates that the proposed VR application denoted as VR Isle Academy operates efficiently, improving the robot - controlling skills of the testers in an intuitive and immersive way towards reducing the learning curve at minimal cost.

翻译：机器人学领域的最新进展以效率与稳定性的提升为标志，为手术机器人系统在全球范围内的普及铺平了道路。尽管这些系统通过提供更精确、创伤更小的手术方式增强了外科医生的技能，但其成本相当高昂。此外，SRS组件通常包含重型机械，由于设备获取途径有限，使得培训过程充满挑战。本文提出一种经济高效的方法，通过支持手部与足部追踪、便携、设备无关的超现实仿真，为SRS模拟器提供培训支持。误差评估支持实时与离线两种模式，使用户表现得以监测与追踪。该VR应用经数名未经训练测试者的客观评估显示，随着训练次数增加，误差指标显著下降。这表明所提出的VR应用（命名为VR Isle Academy）运行高效，能以直观沉浸的方式提升测试者的机器人操控技能，从而以最低成本降低学习曲线。