ورود به سامانه عضویت

  1. صفحه اصلی
  2. سخنرانی های مدعو

Dr. Mohammad Gohari

Mohammad Gohari holds a PhD in Mechanical Engineering from UTM University, Malaysia. He completed his first postdoctoral fellowship in the field of artificial intelligence in rotor fault detection using vibration signals at UTM. He has been a faculty member of Arak University of Technology since 2013 and is working in the field of vibration control. He is currently working as a Senior Researcher at PRISMA LAB Robotics Laboratory, Federico II University, Italy, in the field of robotics application in medical engineering. One of his research topics is the application of robotics in Rehabilitation and Surgical Robots with a vibration control approach.

Human Bone Robotic Milling and Vibration Challenges

Dr. Mohammad Gohari, Senior Researcher, PRISMA Lab, University Federico II, Italy

In recent decades, the application of robots in various medical fields, particularly in surgery and bone machining processes, has garnered significant attention from researchers. Robotic bone machining systems, with their ability to offer high precision and minimize human error, play a crucial role in improving surgical outcomes. Additionally, these systems can reduce surgery time and enhance overall efficiency, contributing to better patient recovery.

In this speech, a review of bone milling and the design specifications of the machining robot, followed by the mechanism synthesis and kinematic analysis of the innovative double-parallelogram RCM mechanism regarding vibration challenge is presented. Firstly, kinematics of the robot is described, and then force analysis of machining is reviewed. Finally, the control algorithm is designed and simulated based on kinematics and dynamics of robot by considering vibration generated by the tool.

Given the vibration issue has crucial effects on the precision milling of the bone, this will be discussed in speech. Current speech aims to open a horizon about robotic bone machining system that can enhance surgical precision, reduce operation time, and minimize patient recovery periods. The integration of advanced sensor technologies and real-time feedback will be critical to achieving these objectives.