Yutaka Okamoto
Papers
1
Total Citations
3
H-Index
1
About
Yutaka Okamoto’s research centers on advancing robotic teleoperation and semi-autonomous control, with a particular focus on excavation tasks in remote or hazardous environments. His major contribution lies in developing a semi-autonomous control framework that integrates a model of human operation with state estimation via the Extended Kalman Filter. This approach allows autonomous systems to perform excavation while enabling human interposition for emergency operations or to overcome communication delays—a critical challenge in teleoperation. His most-cited work, “Semi-autonomous control of excavation using model of human operation and state estimation via Extended Kalman Filter” (2020), has garnered 3 citations, reflecting its niche but foundational impact in robotics and human-machine interaction. Okamoto’s work is notable for bridging autonomy and human oversight, offering a practical solution for applications like construction, mining, and disaster response. By blending real-time estimation with operator input, he has paved the way for safer, more efficient remote operations, making his research a key reference for students and engineers exploring teleoperated robotics and shared control systems.
Research Focus
Key Achievements
Top Papers
- 1