Masato Odagaki
Papers
2
Total Citations
9
H-Index
2
About
Masato Odagaki is a researcher at the forefront of rehabilitation robotics and brain-computer interfaces (BCIs), specializing in the seamless integration of human intent with robotic systems. His work focuses on two critical areas: assistive technologies for physical therapy and multi-robot cooperative control via neural signals. In his highly cited 2016 study, Odagaki developed a novel upper limb training system that leverages sEMG and IMU sensors on a UR5 robot arm. This system captures a trainer’s motion and force data to guide rehabilitation for patients with physical disabilities, effectively replicating expert therapeutic guidance even when a human trainer is unavailable. Building on this, his 2017 paper introduced an SSVEP-based BCI system with a vision-assisted navigation module, enabling users to control multiple robots for cooperative tasks like mobility and manipulation—a significant leap from single-robot control. With over 5 and 4 citations respectively, these works highlight Odagaki’s impact in making robotic assistance more intuitive and accessible. His contributions are pivotal for advancing neurorehabilitation and human-robot collaboration, offering promising pathways for patients and multi-agent systems alike.
Research Focus
Key Achievements
Top Papers
- 1
- 2