Papers

4

Total Citations

22

H-Index

3

About

Pejman Kheradmand is a robotics researcher specializing in surgical robotics, medical device design, and kinematic calibration. His work focuses on enhancing the precision and dexterity of robotic systems for minimally invasive procedures, particularly in complex anatomical environments. Kheradmand’s major contributions include the development of the “Sina” surgical robot, where he pioneered a hybrid kinematic calibration method that combines analytical and machine learning approaches to solve inverse kinematics challenges—a critical advancement for ensuring accurate robot control. He also led the design of the Tendon-Assisted Magnetically Steered (TAMS) robotic stylet for brachytherapy, a steerable needle system aimed at improving radiation dosage delivery for deep-seated tumors. Additionally, he contributed to the Sinaflex robotic telesurgery system, analyzing the master robot’s kinematics and workspace to optimize surgeon control. His most cited work, “Investigation of a Hybrid Kinematic Calibration Method for the ‘Sina’ Surgical Robot” (13 citations), underscores his impact in surgical robotics. Kheradmand’s innovations, such as the Tendon-Actuated Concentric Tube Endonasal Robot (TACTER) for skull base surgeries, demonstrate his commitment to pushing the boundaries of robotic-assisted interventions, making procedures safer and more effective.

Research Focus

Key Achievements

3
H-Index
4
Papers
22
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Investigation of a Hybrid Kinematic Calibration Method for the “Sina” Surgical Robot
13 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 19
🏛 Institutions: Tehran University of Medical Sciences, University of Louisville

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago