Yuma MUGITANI

Papers

Total Citations

H-Index

About

Yuma Mugitani is a robotics researcher focused on advancing surgical assistance through intuitive human-robot interaction. His primary research areas include surgical robotics, image recognition, and human-machine interfaces for minimally invasive procedures. Mugitani’s major contribution lies in developing an operation interface for a surgical assistant robot that uses image recognition of the forceps shaft to enable a surgeon to perform robotically assisted laparoscopic solo surgery. This innovation allows a locally operated small surgical robot in a sterile field to be controlled seamlessly, reducing the need for additional human assistants and enhancing surgical precision. His most cited work, "Operation Interface of Surgical Assistant Robot Based on Image Recognition of Forceps Shaft" (2022), has garnered 1 citation, reflecting its emerging impact in the field. Mugitani’s research bridges computer vision and robotics to create safer, more efficient surgical workflows, offering a glimpse into the future of autonomous assistance in the operating room. His work is particularly notable for its potential to democratize access to robotic surgery by simplifying control systems, making it a valuable contribution for students and researchers exploring practical applications of image-guided robotics in medicine.