Takashi Yasuno
Papers
19
Total Citations
158
H-Index
7
About
Takashi Yasuno is a robotics and intelligent systems researcher whose work spans two decades of innovation across autonomous robot locomotion, multi-robot coordination, assistive navigation technologies, and agricultural robotics. His earliest and most foundational contributions lie in bio-inspired locomotion control, particularly his pioneering development of Central Pattern Generator (CPG) networks for quadruped robots. Beginning in 2003 with neural network-based manipulator control, Yasuno progressively advanced adaptive gait generation and hopping motion systems for multi-legged robots, work that has garnered consistent citations and remains influential in the field of dynamic robot locomotion. Beyond locomotion, Yasuno expanded his research into practical, socially impactful applications. His 2016 RFID-based indoor navigation system for visually impaired people, his most-cited work with 21 citations, demonstrates a commitment to assistive technology. His 2017 pesticide-spraying greenhouse robot, applying graph theory to agricultural automation, reflects a broader interest in real-world deployment of autonomous systems. Additional contributions in multi-robot cooperative control using Particle Swarm Optimization highlight his versatility in optimization-driven approaches. Collectively, Yasuno's portfolio, accumulating over 100 citations across diverse domains, reflects a researcher dedicated to bridging theoretical robotics with meaningful, human-centered applications.
Research Focus
Key Achievements
Top Papers
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- 6Moving control of quadruped hopping robot using adaptive CPG networks14 citations · 2010
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