Yuta Ono
Papers
1
Total Citations
2
H-Index
1
About
Yuta Ono is a robotics researcher whose work addresses critical societal challenges posed by global aging and workforce decline. His primary research areas include human-robot cooperation, visual information processing, and assistive robotics for elderly care. Ono’s major contribution lies in developing a human-robot cooperative system that leverages visual information to enable seamless collaboration between humans and machines. This system allows robots to interpret and respond to human actions in real time, making them more intuitive and effective partners in tasks ranging from daily assistance to industrial automation. While his most-cited paper, "Development of a human-robot cooperative system based on visual information" (2019), has garnered 2 citations, its significance extends beyond raw numbers—it lays foundational groundwork for robots that can autonomously support aging populations and compensate for shrinking workforces. Ono’s work is particularly notable for its focus on elderly care assistance, a domain where robotic support can dramatically improve quality of life. By integrating visual feedback into cooperative robotics, he has helped advance the vision of robots as empathetic, responsive collaborators rather than mere tools.
Research Focus
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Top Papers
- 1