In today’s world there is an increasing need to create artificial arms for different situations where human interaction is difficult or impossible. They may involve taking readings from an active volcano or diffusing a bomb. This study propose to build a robotic arm to control suturing speed in Minimally Invasive Robotic Surgery (MIRS) and suturing speed is controlled by information about variation of muscle thickness. The development of this arm is based on ATmega2560 platform along with a personal computer for image processing, which will all be interfaced with each other using serial communication. Finally, this prototype of the arm is expected to overcome the problem now present in MIRS.
J. KR and Alif, T., “Fuzzy Controlled Suturing Force Calculation in Minimally Invasive Robotic Surgery”, in 2017 IEEE International conference on Technological Advancements in Power and Energy(TAP Energy 2017), 2017.