Mojtaba A. Khanesar
Papers
7
Total Citations
44
H-Index
3
About
Mojtaba A. Khanesar is a robotics researcher whose work centers on industrial robot calibration, precision positioning, and intelligent control systems. His most significant contributions lie in advancing the accuracy of industrial robots through innovative kinematic calibration techniques, particularly leveraging laser tracker systems and intelligent optimization algorithms to refine Denavit-Hartenberg parameters — the mathematical foundations governing robot motion. His 2023 paper on precision DH parameter calibration has already garnered 27 citations, reflecting its rapid adoption by the robotics community as a practical benchmark for improving end-effector positioning. Beyond calibration, Khanesar has extended his expertise to continuum robots, developing adaptive lumped-mass dynamic models that bridge theoretical control frameworks with real-world flexibility challenges. His work on XY-linear stage accuracy enhancement using interval type-2 fuzzy logic systems demonstrates a sophisticated command of soft computing tools applied to precision engineering problems. More recently, he has explored human-robot interaction through hand gesture recognition interfaces, broadening the accessibility of industrial robot programming. Collectively spanning foundational calibration, mechanical modification, meta-heuristic optimization, and intuitive control, his growing body of work positions him as an emerging authority in high-precision industrial robotics and intelligent automation systems.
Research Focus
Key Achievements
Top Papers
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- 6Hand Gesture Interface to Teach an Industrial Robots1 citations · 2023
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