Papers
13
Total Citations
78
H-Index
6
About
Satoshi Yagi is a robotics researcher whose work spans emotional expression in humanoid robots, physical human-robot interaction, and autonomous navigation. His most recognized contributions center on how mobile humanoid robots can communicate affect through movement — particularly by replicating the natural upper-body oscillations produced during human gait. His 2021 paper on emotion perception through gait-induced motion (16 citations) and its 2020 predecessor (11 citations) established a compelling framework for non-verbal emotional communication in wheeled robots, demonstrating that subtle vertical oscillations meaningfully shape how humans perceive a robot's emotional state. Yagi has also explored the boundaries of physical interaction through tensegrity-structured robots capable of adaptive shape-changing, investigating their potential for safe and expressive human-robot contact, including affective hugging behaviors. His earlier work on centipede-type walking robots and EMG-based exoskeleton control (10 citations each) reflects a broad mechanical and biomechanical foundation. More recently, Yagi has moved toward intelligent autonomy, with investigations into hierarchical reinforcement learning for modular robots and LLM-guided visual object navigation. Across his career, his research consistently bridges mechanical innovation with the nuanced social and emotional dimensions of human-robot coexistence.
Research Focus
Key Achievements
Top Papers
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- 4Centipede type walking robot (CWR-2)10 citations · 2002
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- 10LLM-Guided Zero-Shot Visual Object Navigation with Building Semantic Map2 citations · 2025