Masataka Yoshioka
Maebashi Institute of Technology, National Institute of Technology
Papers
7
Total Citations
38
H-Index
3
About
Masataka Yoshioka is a pioneering roboticist whose work sits at the intersection of assistive mobility, human-robot interaction, and brain-machine interfaces (BMI). His primary research focuses on developing intelligent, omnidirectional robotic systems—particularly hybrid walker-wheelchairs—that provide walking support and power assistance for the elderly and disabled. Yoshioka’s major contributions include the design of an omnidirectional wheelchair-typed robot controlled via admittance control, enabling intuitive and safe movement assistance. He further advanced this work by addressing the critical challenge of slope negotiation, using iterative learning control to synchronize user and robot velocities during ascent and descent. Beyond mobility aids, Yoshioka has made notable strides in noninvasive BMI control, pioneering methods to estimate shoulder joint EMG signals from EEG data for controlling upper-limb power assistance devices. His work on real-time BMI systems based on motor imagery has laid groundwork for future rehabilitation and augmentation technologies. With over 38 citations across his most-cited papers, Yoshioka’s research is steadily influencing the design of safer, more responsive assistive robots. His interdisciplinary approach—merging robotics, control theory, and neuroscience—positions him as a key contributor to next-generation assistive technologies.
Research Focus
Key Achievements
Top Papers
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- 6Construction of real-time BMI control system based on motor imagery2 citations · 2011
- 7Frictional constraints on the sole of a biped robot when slipping2 citations · 2017