Papers

52

Total Citations

925

H-Index

14

About

Farshid Alambeigi is a pioneering robotics researcher whose work sits at the intersection of surgical robotics, continuum manipulators, and deformable object manipulation. Best known for his highly influential 2022 survey "Challenges and Outlook in Robotic Manipulation of Deformable Objects" — already garnering 244 citations — Alambeigi has helped define and shape one of robotics' most rapidly growing research frontiers. His contributions extend deeply into medical robotics, where he has developed innovative robotic systems for minimally invasive orthopedic procedures, particularly the treatment of pelvic osteolysis following total hip replacement surgery. This body of work, spanning design, control, and clinical evaluation of continuum manipulators equipped with fiber Bragg grating (FBG) sensors, reflects both engineering rigor and clinical relevance. Alambeigi has also advanced autonomous tissue manipulation techniques using online learning algorithms capable of handling unknown, anisotropic deformable tissues — work that bridges machine learning and surgical robotics. His research on retinal surgery robotics and semi-autonomous cryoablation further demonstrates his breadth across surgical domains. More recently, he has expanded into human-robot interaction and orthopedic navigation systems. With hundreds of citations accumulated across a relatively compact publication record, Alambeigi's work represents some of the most impactful contributions to the emerging field of autonomous surgical and medical robotics.

Research Focus

Key Achievements

14
H-Index
52
Papers
925
Total Citations
18
Avg Citations/Paper
🏆 Most Cited Paper
Challenges and Outlook in Robotic Manipulation of Deformable Objects
244 citations · 2022
📈 Most Prolific Year: 2023 (10 Papers)
🤝 Key Collaborators: 128
🏛 Institutions: The University of Texas at Austin, Johns Hopkins University, Walker (United States), Tehran University of Medical Sciences

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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