Author(s): Samuel Manoharan, Narain Ponraj
The field of medicine is greatly benefited by telerobotic surgeries. It allows the surgeon to reach the patient remotely. Traditional surgical telerobotic techniques had several drawbacks mainly due to communication delay and lack of precision. Signal latency also causes significant delay in operations. This also causes the risk of increased human errors. The surgical workflow can be altered by the addition of features like self-correction and self-automation. In this paper, we reduce the delay in telerobotic surgery using supervisory control approach and apply a haptic feedback to regulate safety. Motion scaling technique is used to combat responses in delayed environment as well as to improve the accuracy of the system. Augmented reality, improved functional design, comfort and skills along with the ability to reach the patient remotely promotes the wide use of surgical telerobotics.