Papers
3
Total Citations
5
H-Index
2
About
Sara Hosseini’s research lies at the intersection of robotics, motion planning, and energy efficiency, with a particular focus on industrial robot arm manipulators. Her work addresses critical challenges in automation, including kinodynamic motion planning, inverse kinematics, and energy consumption estimation. In her 2020 paper, she introduced a novel cost function formulation for energy-efficient motion planning of a 2-DOF robot arm, modeling inertia, Coriolis, centrifugal, and friction losses to optimize performance. Her 2017 contribution provided an explicit inverse kinematic solution for the FUM 6R-20 articulated arm using a dual quaternion approach, a key advancement for six-axis robots developed at Ferdowsi University of Mashhad Robotics Lab. Most recently, in 2024, Hosseini proposed a method for estimating energy consumption during trajectory planning for a 6-DoF UR3e robot, directly supporting human-robot collaborative scheduling in modern manufacturing. Though her citation counts are currently modest, her work lays foundational groundwork for energy-aware robotics and industrial automation. Hosseini’s research is particularly relevant for students and engineers seeking to reduce energy footprints in robotic systems while maintaining precision and efficiency.
Research Focus
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Top Papers
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