About

Satoshi Nakamura is a leading researcher in human-robot interaction, specializing in robust speech recognition, situated spoken dialogue, and multimodal communication for robots. His foundational work on speech recognition systems for communication robots in noisy environments has been instrumental in enabling robots to understand human speech under real-world conditions, including background noise and speakers of different ages. His most cited paper (34 citations) presents a robust ASR system that significantly expands the application range of communication robots. Nakamura has also pioneered active learning frameworks for robot language acquisition, where robots learn to generate appropriate utterances and motions by integrating speech, vision, and motion modules into a probabilistic framework. His work on Bayesian learning of confidence measures allows robots to make intelligent confirmation questions, reducing misunderstandings in object manipulation tasks. With over 100 total citations across his top papers, Nakamura’s contributions have advanced the field of situated spoken dialogue, making human-robot interaction more natural, safe, and effective. His recent work on multimodal emotional robots and caption generation for robot behaviors continues to push the boundaries of how robots perceive, learn, and communicate in dynamic environments.

Research Focus

Key Achievements

8
H-Index
13
Papers
147
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
A Robust Speech Recognition System for Communication Robots in Noisy Environments
34 citations · 2008
📈 Most Prolific Year: 2010 (2 Papers)
🤝 Key Collaborators: 34
🏛 Institutions: National Institute of Information and Communications Technology, RIKEN Center for Advanced Intelligence Project, Nara Institute of Science and Technology, Hitachi (Japan)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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