About

Tetsushi Oka is a pioneering researcher in human-robot interaction, specializing in spoken dialogue systems, multimodal interfaces, and autonomous robot control. His foundational work, "Meaningful conversation with a mobile robot" (2003, 47 citations), demonstrated how integrating speech recognition with navigation enables users to direct robots, query their status, and update environmental maps—a landmark achievement in natural human-robot communication. Oka further advanced this field with "A spoken language interface with a mobile robot" (2007, 39 citations) and the multimodal command language RUNA (2009), which streamlined home robot control. His contributions extend to vision-based adaptive behaviors, as seen in "Vision-based adaptive and interactive behaviors in mechanical animals using the remote-brained approach" (1996, 34 citations), and robotic manipulation, including "Grasping of unknown objects on a planar surface using a single depth image" (2016, 29 citations), which introduced a novel method for object extraction and grasping. Oka’s work on mental image description language (Lmd) for robot manipulation (2008) and the BeNet parallel process model (1997) further underscores his impact on autonomous robot cognition. With over 200 cumulative citations, Oka’s research remains essential for students and engineers designing intuitive, conversational robots that seamlessly integrate speech, vision, and touch.

Research Focus

Key Achievements

6
H-Index
11
Papers
189
Total Citations
17
Avg Citations/Paper
🏆 Most Cited Paper
Meaningful conversation with a mobile robot
47 citations · 2003
📈 Most Prolific Year: 2016 (2 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: University of Edinburgh, Fukuoka Institute of Technology, The University of Tokyo, Nihon University, University of Electro-Communications, College of Industrial Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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