Papers
60
Total Citations
1,839
H-Index
23
About
Tomohiro Shibata is a pioneering researcher at the intersection of humanoid robotics, computational neuroscience, and assistive technology. His work has profoundly shaped our understanding of how robots can both model and enhance human behavior, earning him well over 1,000 citations across his most influential publications. Shibata's foundational contributions include leveraging humanoid robots as experimental platforms to study human motor control and learning — most notably trajectory formation, oculomotor stabilization, and interactive behavior — a body of work that has accumulated 266 citations alone. His biomimetic approaches to gaze control and statistical learning for humanoid systems further established him as a leading voice in biologically inspired robotics. Shibata has also made significant strides in practical assistive applications: his research on EMG-based finger kinematics estimation (199 citations) and reinforcement learning for robotic clothing assistance demonstrate a strong commitment to rehabilitation and elder care. His development of SIGVerse, a social interaction simulation platform, reflects a broader vision of socially intelligent robots. Perhaps most touchingly, his investigation into therapeutic robot interactions — showing measurable stress reduction in elderly users — underscores a career dedicated to robots that genuinely improve human lives.
Research Focus
Key Achievements
Top Papers
- 1Using humanoid robots to study human behavior266 citations · 2000
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- 4Reinforcement learning of clothing assistance with a dual-arm robot100 citations · 2011
- 5Statistical Learning for Humanoid Robots90 citations · 2002
- 6Overt visual attention for a humanoid robot82 citations · 2002
- 7High performance loop closure detection using bag of word pairs64 citations · 2015
- 8Biomimetic Oculomotor Control63 citations · 2001
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