Yuuki Abiko
Papers
2
Total Citations
6
H-Index
2
About
Yuuki Abiko’s research focuses on human-robot interaction and assistive robotics, specifically developing intuitive interfaces that empower individuals with limited mobility to control life-support robots. His major contributions center on bridging the gap between virtual and physical environments for robotic teaching. In his most-cited work, "Real World Click with a TOF Laser Sensor Set on a Pan-tilt Actuator and Its Application for Teaching a Life Support Robot" (2016, 4 citations), Abiko introduced a novel system where a time-of-flight laser sensor mounted on a pan-tilt actuator, operated via a PC mouse, allows a care receiver to “click” on physical objects in cluttered spaces. This enables bedridden users to intuitively instruct a robot to manipulate real-world items. Expanding on this, his 2014 paper (2 citations) proposed a “drag-and-drop” method linking virtual objects on a display to physical counterparts, further simplifying robot teaching for caregivers. Though his citation counts are modest, Abiko’s work is notable for its practical, user-centered approach to assistive technology, directly addressing the challenges of independent living for those with severe mobility constraints. His research represents a meaningful step toward more accessible and intuitive human-robot collaboration in caregiving environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2