Papers
33
Total Citations
321
H-Index
11
About
Hiroshi Takemura is a robotics researcher whose work spans mobile robot navigation, human-robot interaction, and applied machine intelligence. His most recognized contributions center on autonomous mobile systems capable of perceiving and following people in dynamic real-world environments. Beginning in 2005 with his slip-adaptive quadruped locomotion research (52 citations), Takemura developed increasingly sophisticated person-following systems that fuse stereo vision, laser range sensing, and color-based tracking to enable robots to operate reliably indoors and outdoors under challenging conditions — work that collectively earned nearly 100 citations across multiple studies. A particularly inventive thread of his research involves "robotizing" everyday objects, most notably transforming shopping carts into autonomous carriers for large facilities such as malls and airports. In later years, Takemura expanded into deep reinforcement learning for crowd navigation, probabilistic 3D sound source mapping, CNN-based livestock body condition scoring for Japanese agricultural applications, and staircase detection for search-and-rescue robots. Most recently, his lab produced a robotic double-balloon colonoscope aimed at reducing patient discomfort. Together, his portfolio reflects a career dedicated to bringing practical robotic intelligence into everyday human environments across healthcare, agriculture, and service industries.
Research Focus
Key Achievements
Top Papers
- 1Slip-adaptive walk of quadruped robot52 citations · 2005
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- 7A3C Based Motion Learning for an Autonomous Mobile Robot in Crowds15 citations · 2019
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- 9Probabilistic 3D sound source mapping using moving microphone array13 citations · 2016
- 10Robotic endoscope with double-balloon and double-bend tube for colonoscopy12 citations · 2023