Arihiro Yorita
Papers
1
Total Citations
12
H-Index
1
About
Arihiro Yorita is a leading researcher in human-robot interaction (HRI), with a focus on developing intuitive, accessible interfaces for service robots, particularly in aging societies. His most-cited work, "Natural Multimodal Fusion-Based Human–Robot Interaction: Application With Voice and Deictic Posture via Large Language Model" (2025, 12 citations), tackles a critical challenge: translating human intent into robot commands for elderly users who may struggle with complex syntax or sign language. By fusing voice commands with deictic postures—such as pointing gestures—and leveraging large language models, Yorita’s system enables more natural, multimodal communication, reducing barriers to robot adoption. This contribution is pivotal for creating assistive robots that can support daily living and care tasks. Yorita’s research sits at the intersection of robotics, natural language processing, and human factors, demonstrating how AI can bridge the gap between human behavior and machine action. His work not only advances HRI theory but also offers practical solutions for real-world deployment, making him a key figure in shaping the future of service robotics for vulnerable populations.
Research Focus
Key Achievements
Top Papers
- 1