Yoshitaka Nishimura
Papers
6
Total Citations
75
H-Index
6
About
Yoshitaka Nishimura is a pioneering researcher in human-robot interaction, with a focus on making humanoid robots effective communicators in real-world settings. His work spans two critical challenges: enabling robots to hear clearly despite their own motor noise, and giving them the ability to deliver engaging, interactive presentations. In his most cited paper (19 citations), Nishimura addressed the fundamental problem of automatic speech recognition for robots, applying missing feature theory and MLLR to filter out the robot's own motor noise—a practical breakthrough for voice-controlled robotics. He is perhaps best known for developing the Multimodal Presentation Markup Language for Humanoid Robots (MPML-HR), a script language that allows non-experts to program robots for presentations and audience interactions. Across multiple papers (each with 10-12 citations), Nishimura and his team psychologically evaluated how audiences perceive robot presenters compared to on-screen agents, demonstrating that humanoid robots can be more engaging and trustworthy. His work bridges robotics, speech processing, and human-computer interaction, laying groundwork for robots that can serve as museum guides, receptionists, or educational assistants.
Research Focus
Key Achievements
Top Papers
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- 4A markup language for describing interactive humanoid robot presentations11 citations · 2007
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