Mani Ghassempouri
Papers
1
Total Citations
15
H-Index
1
About
Dr. Mani Ghassempouri is a leading researcher at the intersection of robotics, manufacturing, and intelligent process control. His primary focus lies in enhancing the precision and autonomy of industrial robotic systems, particularly for machining and material removal tasks. Dr. Ghassempouri’s most significant contribution is the development of a novel, sensorless method for estimating cutting forces during robotic machining by analyzing joint motor current signals. This breakthrough, detailed in his highly cited 2021 paper (15 citations), offers a cost-effective and robust alternative to expensive force sensors, enabling real-time process monitoring and adaptive control. His work directly addresses a critical challenge in deploying robots for high-precision manufacturing, such as milling and deburring, where force feedback is essential for quality and tool life. By bridging the gap between traditional CNC machining and flexible robotic automation, Dr. Ghassempouri’s research is paving the way for more intelligent and responsive manufacturing cells, making him a notable figure in the advancement of Industry 4.0 technologies.
Research Focus
Key Achievements
Top Papers
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