Papers
10
Total Citations
98
H-Index
7
About
Masamichi Shimosaka is a leading researcher in robotics and intelligent systems, whose work spans multi-robot manipulation, human activity recognition, and indoor localization. His most influential contribution is in **robust caging** for cooperative manipulation, where he solved the problem of robotic redundancy by developing methods that use the fewest possible robots to securely cage and manipulate objects—a breakthrough that reduces hardware waste and control complexity, as detailed in his 2012 paper (19 citations). In the realm of **human sensing and recognition**, Shimosaka pioneered laser-based techniques for detecting, classifying, and estimating the poses of multiple people, using only laser range finders to infer head and waist positions (12 citations). He also advanced **indoor localization** with ZigBee-based systems optimized for practical home sensing (13 citations), and developed human-like action recognition systems that mimic human perception for daily activities like walking or lying down (12 citations). His work on the **TansuBot** drawer-type storage system (5 citations) demonstrates a commitment to real-world applications, helping users search for objects using photos and usage histories. With over 90 total citations across these key areas, Shimosaka’s research continues to influence autonomous driving, service robotics, and smart environments.
Research Focus
Key Achievements
Top Papers
- 1Cooperative manipulation with least number of robots via robust caging19 citations · 2012
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- 5Human-like action recognition system using features extracted by human12 citations · 2003
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- 7Design of Distributed End-Effectors for Caging-Specialized Manipulator9 citations · 2013
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