Yusuke Kurose

The University of Tokyo

Papers

8

Total Citations

93

H-Index

7

About

Yusuke Kurose is a leading researcher in surgical robotics, specializing in autonomous control systems for neurosurgery and vitreoretinal surgery. His work addresses the critical challenge of enabling robotic instruments to operate safely and precisely in the deep, narrow spaces of the brain and eye—environments where even expert surgeons struggle. Kurose’s major contributions include developing collision avoidance methods using virtual fixtures and dynamic motion scaling for neurosurgical robots like the MM-3, as well as autonomous positioning techniques for eye surgical robots that leverage tool shadow tracking and Kalman filtering. His research on needle tracking for microsurgical robotic systems has also advanced automated surgical capabilities. With over 90 citations across his most influential papers, Kurose’s work has significantly impacted the field of robot-assisted microsurgery. Notably, his 2017 paper on autonomous collision avoidance for robotic neurosurgery has garnered 20 citations, reflecting its importance in enabling safer operations in confined cranial spaces. Kurose’s innovative approaches to intelligent control and task planning continue to push the boundaries of what surgical robots can achieve autonomously.

Research Focus

Key Achievements

7
H-Index
8
Papers
93
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Toward Autonomous Collision Avoidance for Robotic Neurosurgery in Deep and Narrow Spaces in the Brain
20 citations · 2017
📈 Most Prolific Year: 2017 (3 Papers)
🤝 Key Collaborators: 36
🏛 Institutions: The University of Tokyo

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago