Papers
9
Total Citations
85
H-Index
5
About
Yusuke Noda is a versatile researcher whose work spans surgical robotics, geometric modeling, and artificial intelligence. His most impactful contribution lies in improving urinary continence recovery after robotic-assisted radical prostatectomy, where his 2019 study (24 citations) demonstrated how postoperative pelvic anatomy—particularly membranous urethral length—can guide surgical techniques to enhance patient outcomes. In robotics, Noda pioneered laser-based geometric modeling of large-scale structures using cooperative mobile robots (21 citations), developing methods for autonomous 3D reconstruction without manual alignment. He has also advanced auditory robotics with active soft pinnae for improved sound localization, and created hardware-in-the-loop simulators to analyze multi-degree-of-freedom robots without complex joint modeling. Most recently, Noda has contributed to the frontier of AI with position papers on Agent AI and an Interactive Agent Foundation Model (2024, 9 and 4 citations), advocating for holistic intelligence systems that integrate perception, reasoning, and action. His work demonstrates a unique ability to bridge clinical applications, autonomous systems, and foundational AI, making him a notable figure in both surgical and robotic research communities.
Research Focus
Key Achievements
Top Papers
- 1
- 2Laser-based geometric modeling using cooperative multiple mobile robots21 citations · 2009
- 3
- 4Position Paper: Agent AI Towards a Holistic Intelligence9 citations · 2024
- 5Active soft pinnae for robots7 citations · 2011
- 6An Interactive Agent Foundation Model4 citations · 2024
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- 9