Papers
10
Total Citations
617
H-Index
8
About
Erdem Öztürk is a leading researcher at the intersection of robotics and advanced manufacturing, whose work is redefining precision machining. His primary research areas include robotic-assisted machining, chatter suppression, and the dynamic optimization of serial arm robots for industrial applications. Öztürk’s most significant contribution is his seminal 2019 paper, "Robots in machining," which has garnered 366 citations and serves as a foundational reference for the field. He has systematically addressed the critical challenge of poor rigidity in serial robots, pioneering methods to control configuration-dependent dynamics and suppress regenerative chatter—a key instability that limits productivity. His work on "Cartesian Stiffness Optimization for Serial Arm Robots" (32 citations) and "Chatter Suppression in Robotic Milling" (22 citations) has provided practical frameworks for enhancing robot stiffness and precision. Notably, Öztürk has also advanced the concept of robotically assisted active vibration control, demonstrating how robots can locally stiffen thin-walled workpieces during milling to reduce form errors and improve surface quality. With a portfolio of highly cited papers and a recent foray into learning-based error prediction (2026), Öztürk continues to push the boundaries of high-precision, automated manufacturing, making him a pivotal figure for students and researchers in machining and robotics.
Research Focus
Key Achievements
Top Papers
- 1Robots in machining366 citations · 2019
- 2Can mode coupling chatter happen in milling?61 citations · 2021
- 3
- 4Robotic assisted milling for increased productivity49 citations · 2018
- 5Cartesian Stiffness Optimization for Serial Arm Robots32 citations · 2018
- 6
- 7Vision-assisted robotic finishing of friction stir-welded corner joints13 citations · 2019
- 8Form Error Prediction in Robotic Assisted Milling12 citations · 2019
- 9FREQUENCY RESPONSE PREDICTION FOR ROBOT ASSISTED MACHINING8 citations · 2019
- 10