Yusuke Sakamoto
Papers
4
Total Citations
45
H-Index
2
About
Yusuke Sakamoto’s research bridges robotics, localization, and medical instrumentation, with a focus on enabling seamless navigation and precise motion control. His most impactful work tackles the challenge of indoor robot positioning, where he pioneered methods for pose estimation using RFID tag lattices—a robust alternative to vision-based systems vulnerable to lighting and obstacles. This work, cited 33 times, laid groundwork for reliable robot localization in cluttered environments. Expanding on this, Sakamoto investigated GPS-compatible indoor positioning, introducing high-accuracy IMES with real-time kinematic Doppler positioning to achieve indoor-outdoor seamless navigation, a critical step for autonomous systems operating across diverse settings. His broader contributions include adaptive motion generation through quasi-simultaneous recognition of multiple targets, enabling robots to dynamically adjust behavior based on visual cues. Notably, Sakamoto has also ventured into medical robotics, exploring the utility of articulating instruments as alternatives to robotic devices in laparoscopic surgery, demonstrating the translational potential of his engineering insights. With a career spanning foundational localization techniques to cutting-edge surgical applications, Sakamoto’s work continues to influence both field robotics and clinical practice.
Research Focus
Key Achievements
Top Papers
- 1Pose estimation of a mobile robot on a lattice of RFID tags33 citations · 2008
- 2
- 3
- 4