Papers
4
Total Citations
79
H-Index
4
About
Hiroshi Morioka is a multidisciplinary researcher whose work spans brain-machine interfaces (BMI), autonomous robotics, and advanced control systems — fields collectively aimed at bridging human cognition and intelligent machines. His most impactful contribution, a 2013 paper on waypoint-based frameworks for brain-controlled smart home environments (34 citations), demonstrated how noninvasive BMI technology could be integrated with home automation and robotics to meaningfully support aging populations and individuals with disabilities. This work positioned him as a thoughtful advocate for human-centered technology with real-world welfare implications. Morioka has also made significant strides in mobile robotics, particularly in the challenging domain of vision-based simultaneous localization and mapping (SLAM) in crowded environments, with related publications from 2011 accumulating over 30 combined citations. His research addressed critical limitations in existing navigation systems, advancing the field toward more robust real-world deployment. Earlier work from 2002 on time-delay control in sliding mode motion systems (11 citations) reflects his foundational expertise in control engineering. Together, Morioka's body of work traces an arc from precision control theory to cutting-edge human-robot interaction, highlighting a sustained commitment to practical, socially meaningful technological innovation.
Research Focus
Key Achievements
Top Papers
- 1
- 2Vision-based mobile robot's SLAM and navigation in crowded environments18 citations · 2011
- 3Vision-based mobile robot's SLAM and navigation in crowded environments16 citations · 2011
- 4