Papers
5
Total Citations
41
H-Index
3
About
Hiroki Tanaka is a leading researcher at the intersection of social robotics, human-robot interaction, and multimodal machine learning. His work focuses on creating robots that can understand, assist, and empathize with humans in real-world settings. Tanaka’s most impactful contribution is a novel method for robust understanding of robot-directed speech commands, which uses sequence-to-sequence models with noise injection to overcome the limitations of off-the-shelf automatic speech recognition (ASR) systems. This work, published in 2020, has garnered 19 citations and is foundational for enabling service robots to operate reliably in noisy environments. He has also made significant strides in affective computing, modeling trust and empathy for socially interactive robots (15 citations), and in assistive technology, developing a spoken dialogue robot that monitors the daily lives of elderly people. Beyond dialogue, Tanaka has advanced unsupervised learning for robotics with an active exploration method for multimodal object categorization using a hierarchical Dirichlet process. His earlier work includes the design of an RAA-oriented boarding-type walking robot, demonstrating his long-standing commitment to innovative, human-centered robotic platforms.
Research Focus
Key Achievements
Top Papers
- 1
- 2Modeling Trust and Empathy for Socially Interactive Robots15 citations · 2021
- 3Spoken Dialogue Robot for Watching Daily Life of Elderly People3 citations · 2021
- 4
- 5Examination of RAA-oriented Boarding-type Walking Robot1 citations · 2006