Shahram Tafazoli
Papers
2
Total Citations
37
H-Index
2
About
Shahram Tafazoli is a leading researcher in robotics and sensor systems, with a focus on noncontact sensing, calibration, and autonomous control. His work has significantly advanced the field of robotic joint-angle estimation, where he developed an integration-free accelerometer-based sensor that enables dynamic, indirect angle measurement without physical contact. This innovation, detailed in his most-cited paper (30 citations), eliminates drift and calibration complexities common in traditional methods, offering robust solutions for robotic manipulators and exoskeletons. Tafazoli also made notable contributions to autonomous stereo camera parameter estimation for outdoor visual servoing, addressing the critical challenge of real-time calibration in unstructured environments. His research bridges sensor design and control theory, enhancing the reliability of vision-guided robots in field applications. With a career spanning over a decade, Tafazoli’s work has been cited in robotics, mechatronics, and automation studies, underscoring its practical impact. His achievements include pioneering cost-effective, high-accuracy sensing techniques that continue to influence modern robotic systems, from industrial automation to assistive technologies.
Research Focus
Key Achievements
Top Papers
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- 2