Papers
18
Total Citations
486
H-Index
10
About
Ryosuke Tajima is a pioneering researcher in humanoid robotics, dynamic locomotion, and personal assistive robots. His most influential work, "Fast running experiments involving a humanoid robot" (189 citations), introduced a unified motion generation and balance control framework enabling humanoid robots to achieve running gaits with flight phases—a critical step toward high-speed, agile legged locomotion. Tajima also advanced tactile sensing for full-body human-robot interaction, developing soft, distributed tactile sensors (80 citations) that allow robots to perceive contact across large surface areas. His research on one-legged hopping and running (44 citations) further explored flight-phase dynamics, expanding the speed and stability envelope of legged systems. In recent years, Tajima has applied model predictive control and deep learning (e.g., LSTM-based friction modeling, 42 citations) to personal robots designed to support active aging, focusing on safe human-following, collision avoidance, and posture stabilization. His work bridges fundamental locomotion theory with practical assistive technology, earning recognition for its impact on both humanoid agility and socially beneficial robotics.
Research Focus
Key Achievements
Top Papers
- 1Fast running experiments involving a humanoid robot189 citations · 2009
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- 3Motion having a Flight Phase: Experiments Involving a One-legged Robot44 citations · 2006
- 4Modeling of rolling friction by recurrent neural network using LSTM42 citations · 2017
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- 7MPC policy learning using DNN for human following control without collision16 citations · 2018
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- 9Motion having a Flight Phase: Experiments Involving a One-legged Robot14 citations · 2007
- 10Personal robot assisting transportation to support active human life11 citations · 2015