Tatsuhiro Jodan
Papers
1
Total Citations
3
H-Index
1
About
Tatsuhiro Jodan is a researcher in human-robot interaction, with a focus on enabling robots to understand and replicate human motion for seamless, action-based collaboration. His key research areas include motion recognition, motion generation, and the development of interactive robotic systems that can adapt to human partners in real time. Jodan’s most cited work, “Recursive process of motion recognition and generation for action-based interaction” (2015), proposes a framework where robots not only recognize human behaviors but also generate contextually appropriate, human-like motions in return. This recursive loop between perception and action is central to his contribution: moving beyond static programming toward dynamic, reciprocal interaction. Although his citation count is modest—with his top paper cited three times—the conceptual foundation he laid is valuable for researchers aiming to integrate humanoid robots into everyday environments. Jodan’s work underscores the importance of building robots that can engage in natural, adaptive exchanges, a critical step toward truly collaborative human-robot societies.
Research Focus
Key Achievements
Top Papers
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