Sina Akhbari
Papers
4
Total Citations
16
H-Index
3
About
Sina Akhbari is a robotics researcher whose work centers on the design, control, and optimization of parallel kinematic machines for high-precision manufacturing. His research spans intelligent manufacturing, additive manufacturing, and computer-integrated quality improvement for industrial robotic systems. Akhbari’s major contributions include developing a kinematic error model to improve the workspace quality of the C4 parallel robot CMM—a computer-aided optimization approach that enhances performance without altering original designs, cited 9 times. He also introduced a novel 5-DOF parallel kinematics system for additive manufacturing, enabling exceptional precision in fabricating geometrically complex parts. His recent work on smooth trajectory generation using hybrid B-splines and quaternions for 3T1R parallel kinematic milling robots advances tool path interpolation for subtractive manufacturing. Additionally, Akhbari developed a low-cost, real-time coordinated motion generator firmware for multi-DOF parallel robots, integrating stepper motor control with encoder feedback. With citations accumulating across his publications, Akhbari is establishing himself as a contributor to the next generation of intelligent, high-precision robotic systems for manufacturing.
Research Focus
Key Achievements
Top Papers
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