Tayfun Abut
Papers
9
Total Citations
78
H-Index
5
About
Tayfun Abut is a robotics researcher whose work centers on haptic teleoperation, industrial robot control, and human-machine interaction. His major contributions address the critical challenge of controlling robots over communication networks with variable time delays—a problem that degrades stability and transparency in remote operations. In his most cited work (2016, 20 citations), Abut introduced an improved variable wave method to stabilize haptic industrial robot control under real-time variable delays. He further advanced the field by developing adaptive computed torque control (ACTC) methods to eliminate kinematic and dynamic uncertainties in master-slave systems (2017, 17 citations), and by integrating virtual visual interfaces to enhance operator feedback (2018, 9 citations). His research also extends to dynamic modeling and optimal trajectory tracking for robotic arms and wheeled mobile robots. With over 78 total citations across his publications, Abut has established a focused body of work that systematically addresses core issues in teleoperation—delay, uncertainty, and interface design—making his research valuable for engineers developing more reliable and intuitive remote robotic systems.
Research Focus
Key Achievements
Top Papers
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- 3DYNAMIC MODEL AND CONTROL OF 2-DOF ROBOTIC ARM12 citations · 2018
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- 5Interface Design and Performance Analysis for a Haptic Robot5 citations · 2018
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- 7Motion control in virtual reality based teleoperation system4 citations · 2015
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