Masafumi Yano
Papers
5
Total Citations
44
H-Index
3
About
Masafumi Yano is a pioneering researcher in bio-inspired robotics, focusing on how biological principles of self-organization and neural control can be harnessed to create adaptive, autonomous walking machines. His work centers on the emergence of gait patterns in insect-like and bipedal robots, drawing inspiration from the basal ganglia and brainstem systems to enable real-time adaptation to unpredictable environments. Yano’s most influential paper, "An insect robot controlled by the emergence of gait patterns" (1999, 30 citations), demonstrates how dynamic constraints and neural network models can self-organize into stable locomotion without explicit programming. He further explored this in "Simultaneous Self-Organization of Optimal Gait Pattern of Insect and Trajectory to its Destination" (2001, 2 citations), integrating path planning with gait generation. His later work on motion stereo vision (2017, 4 citations) reduced neural network complexity for local motion detection, advancing visual perception in robotics. Though his citation counts are modest, Yano’s contributions are foundational in understanding how biological systems manage the complex interplay between body dynamics and environment, offering key insights for students and researchers in embodied intelligence and adaptive robotics.
Research Focus
Key Achievements
Top Papers
- 1An insect robot controlled by the emergence of gait patterns30 citations · 1999
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