Papers

57

Total Citations

1,916

H-Index

25

About

Moshe Shoham is a pioneering roboticist whose work bridges advanced mechanical theory and life-saving medical applications, with particular expertise in surgical robotics, parallel robot mechanics, and medical micro-robotics. He is perhaps best known for his foundational contributions to the SpineAssist surgical robot system, a bone-mounted miniature robotic platform designed to guide spinal implant placement with exceptional precision. A landmark 2010 multicenter retrospective study validating SpineAssist's clinical accuracy has garnered over 400 citations, establishing it as a cornerstone reference in surgical robotics. Shoham's earlier cadaveric studies and morphometric analyses of the lumbar spine provided the anatomical groundwork that made such systems feasible. Beyond surgical applications, he has made significant theoretical contributions to parallel robot kinematics and singularity analysis using Grassmann–Cayley algebra, stiffness synthesis, and hyper-dual number methods for multibody kinematics. His exploration of flagellar swimming mechanisms for medical micro-robots further illustrates his visionary reach into miniaturized medicine. Collectively, Shoham's portfolio reflects a researcher who has consistently translated rigorous mathematical modeling into real-world clinical impact, making him an influential figure for students working at the intersection of robotics, biomechanics, and minimally invasive medicine.

Research Focus

Key Achievements

25
H-Index
57
Papers
1,916
Total Citations
34
Avg Citations/Paper
🏆 Most Cited Paper
Clinical Acceptance and Accuracy Assessment of Spinal Implants Guided With SpineAssist Surgical Robot
407 citations · 2010
📈 Most Prolific Year: 2010 (5 Papers)
🤝 Key Collaborators: 83
🏛 Institutions: Technion – Israel Institute of Technology, Columbia University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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