Kazumi Aoyama

Papers

Total Citations

H-Index

About

Kazumi Aoyama is a pioneering researcher in human-robot interaction, with a focus on bridging the gap between natural communication and robotic behavior. Her foundational work, "Real World Speech Interaction with a Humanoid Robot on a Layered Robot Behavior Control Architecture" (2006, 24 citations), established a software framework that integrates speech understanding, response generation, and behavioral control for effective real-world dialogue. This contribution remains a cornerstone for designing robots capable of seamless verbal interaction in dynamic environments. Aoyama also explored the critical role of non-verbal cues in human-robot communication (1998, 3 citations), emphasizing that gestures and gaze are essential for natural interaction. Her recent work on "Naming Objects for Vision-and-Language Manipulation" (2023, 2 citations) tackles the challenge of ambiguity in natural language instructions, enabling robots to correctly identify and manipulate objects by resolving interpretation gaps. This research advances the intersection of computer vision, language processing, and robotics. Aoyama’s career reflects a sustained commitment to making robots more intuitive and responsive, with her layered architecture approach influencing subsequent developments in speech-driven robotic control.