Amrudin Agovic

University of Minnesota

Papers

1

Total Citations

2

H-Index

1

About

Amrudin Agovic is a researcher whose work sits at the intersection of robotics, computer vision, and surgical assistance. His most notable contribution explores the critical design challenges of a scrub nurse robot (RSN), a robotic assistant intended to manage surgical instruments in the operating room. In his 2011 paper, Agovic delves into the computer vision issues essential for such a system, particularly how the robot interfaces with its environment to function safely and effectively. While his work has garnered a modest number of citations, its focus on a highly specialized and forward-looking application—reducing costs and human error in surgery—highlights his role in advancing robotic assistance for medical settings. Agovic’s research underscores the importance of vision-based perception in enabling robots to operate in dynamic, high-stakes environments, making his contributions a foundational step toward the future of automated surgical support.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Computer vision issues in the design of a scrub nurse robot
2 citations · 2011
📈 Most Prolific Year: 2011 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: University of Minnesota

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago