Papers
14
Total Citations
262
H-Index
8
About
Shigeo Sora is a pioneering researcher in surgical robotics, with a distinguished focus on microsurgical and neurosurgical robotic systems. Over more than a decade of sustained innovation, Sora has dedicated his career to solving one of neurosurgery's most persistent challenges: enabling surgeons to operate with superhuman precision in confined, deep surgical fields where hand tremors and limited dexterity can have life-altering consequences. Sora's most influential contribution is the development of master-slave robotic platforms specifically engineered for micro-neurosurgery, with his 2012 paper on this system accumulating 76 citations and his foundational 2005 prototype study garnering 55 citations — together representing landmark milestones in the field. His work spans the full spectrum of intelligent surgical robotics, from dynamic motion scaling and skill-based robotic control to robust visual tracking of surgical forceps and needles under microscopes. His 2014 kinematic data fusion algorithm and earlier microsurgical skill assessment frameworks demonstrate a sophisticated integration of computer vision, sensor technology, and robotic intelligence. Collectively, Sora's research has helped establish the theoretical and practical groundwork for next-generation autonomous and semi-autonomous neurosurgical systems, making him an essential reference point for researchers advancing precision surgical robotics worldwide.
Research Focus
Key Achievements
Top Papers
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- 4Microsurgical skill assessment: Toward skill-based surgical robotic control22 citations · 2011
- 5Highly precise master-slave robot system for super micro surgery17 citations · 2010
- 6Micro-Neurosurgical System in the Deep Surgical Field16 citations · 2004
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- 8Intelligent control of neurosurgical robot MM-3 using dynamic motion scaling12 citations · 2017
- 9Study on master manipulator design parameters for robotic microsurgery7 citations · 2012
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