Yuri D. V. Yasuda

Papers

Total Citations

226

H-Index

About

Yuri D. V. Yasuda is a leading researcher in autonomous robotics and visual navigation systems, with a primary focus on enabling machines to perceive and move through complex environments without human intervention. His most influential work, "Autonomous Visual Navigation for Mobile Robots" (2020), has garnered 135 citations and establishes foundational methods for robots to map surroundings, localize themselves, and plan paths using vision as the primary sensory modality—a critical advancement for real-world deployment in unstructured settings. Yasuda further demonstrates his impact through a comprehensive "Aircraft visual inspection: A systematic literature review" (2022, 89 citations), which synthesizes state-of-the-art techniques for automated defect detection in aviation maintenance, bridging robotics and industrial safety. His recent contribution, "Mobile Robots and Autonomous Indoor Navigation" (2024), continues to explore indoor navigation challenges, reflecting his sustained commitment to practical, vision-driven autonomy. Yasuda’s work is distinguished by its systematic approach to solving real-world navigation problems, making him a key figure in advancing mobile robotics from laboratory prototypes to operational systems.