Maki Maeda
Papers
1
Total Citations
17
H-Index
1
About
Maki Maeda is a pioneering researcher at the intersection of robotics and musical expression, best known for her work on anthropomorphic flutist robots and computational models of performance artistry. Her key research areas include musical robotics, expressive performance generation, and neural network modeling of human musicianship. Maeda’s most significant contribution is the development of the WF-4RIII flutist robot, where she implemented a methodology for automatically generating expressive performances by modeling a professional flutist’s nuances. In her highly cited 2007 paper, she employed a feed-forward neural network trained with error back-propagation to capture the subtle dynamics of human expression, translating them into robotic breath control and finger articulation. This work, cited 17 times, bridges artificial intelligence and musicology, offering a novel framework for understanding how machines can emulate artistic interpretation. Maeda’s achievements have influenced both robotic design and performance studies, demonstrating that computational models can replicate the emotional depth of live music. Her research continues to inspire students and researchers exploring the creative potential of humanoid robots.
Research Focus
Key Achievements
Top Papers
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