Papers
15
Total Citations
151
H-Index
8
About
Naotaka Hatao is a leading researcher in humanoid robotics and autonomous navigation, whose work bridges the gap between robots and real-world daily assistance. His primary research areas include system integration for assistive robots, mobile robot audition, and autonomous vehicle navigation in dynamic environments. Hatao’s major contributions include developing a comprehensive software system for daily assistive robots capable of tidying and cleaning rooms, as detailed in his most-cited paper (31 citations), and creating the HRP-2W humanoid platform for support behavior research (29 citations). He also pioneered the nested infinite Gaussian mixture model (iGMM) for mobile robot audition, enabling robust recognition and tracking of moving sound sources (20 citations). His work on real-time navigation for personal mobility robots in pedestrian-filled environments (13 citations) and outdoor 3D map generation for autonomous vehicles (10 citations) has advanced safe, GPS-denied navigation. Notably, Hatao demonstrated practical humanoid capabilities through trash separation of bottles and cans using integrated vision, force, and audio sensors (10 citations). His research has been applied in real-world settings, including the Miraikan museum, showcasing the potential of service robots in human-centric environments.
Research Focus
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