Ahmad Barari
Papers
7
Total Citations
70
H-Index
5
About
Ahmad Barari is a leading researcher in intelligent manufacturing, digital metrology, and robotics, with a particular focus on parallel robots and their applications in precision measurement and automation. His work bridges the gap between theoretical kinematics and practical, real-world industrial solutions. Barari’s most significant contributions include developing an efficient methodology for slicing NURBS surfaces using multi-step methods (32 citations), which has become a foundational technique in computer-aided design and manufacturing. He has also advanced the field of parallel robotics by providing novel numerical solutions for direct kinematics in 4-DOF robots—a notoriously challenging problem critical for robot control and pose determination. His research on computer-integrated workspace quality improvement and self-calibrating parallel robots for coordinate metrology machines (CMMs) has directly enhanced the accuracy and reliability of digital data collection in manufacturing. Beyond industrial applications, Barari has applied his expertise to pressing societal needs, notably developing an autonomous indoor cleaning robot (AICR) supported by AI and vision for dynamic air disinfection during the COVID-19 pandemic. His recent work on optimally initialized adaptive controllers for wearable lower-limb rehabilitation exoskeletons demonstrates a commitment to healthcare robotics. With over 70 combined citations across his most-cited papers, Barari’s research consistently delivers innovative, high-impact solutions that advance both the science and practice of intelligent manufacturing and robotics.
Research Focus
Key Achievements
Top Papers
- 1An efficient methodology for slicing NURBS surfaces using multi-step methods32 citations · 2017
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