Papers
2
Total Citations
24
H-Index
2
About
Saman Vafadar’s research lies at the intersection of robotic motion planning and surgical automation, with a focus on improving efficiency and safety in real-world applications. In his highly cited 2018 work, “Optimal motion planning of mobile manipulators with minimum number of platform movements” (21 citations), Vafadar addressed a fundamental challenge in robotics: minimizing platform repositionings while ensuring a mobile manipulator’s end effector reaches a set of desired poses. This contribution is critical for reducing energy consumption and cycle time in industrial and service robotics. More recently, Vafadar has ventured into medical robotics, as demonstrated by his 2023 study, “Using a Force-Controlled Robot for Probing-Based Registration and Automated Bone Drilling in Pedicle Screw Placement Procedures” (3 citations). Here, he proposed a novel, imaging-free registration method using force feedback, potentially reducing radiation exposure and improving surgical accuracy. This work highlights his ability to translate foundational motion planning principles into high-stakes clinical settings. With a growing citation footprint, Vafadar is establishing himself as a versatile roboticist whose work bridges theoretical optimization and tangible impact in both manufacturing and healthcare.
Research Focus
Key Achievements
Top Papers
- 1
- 2