Isao T. Tokuda
Papers
17
Total Citations
174
H-Index
8
About
Isao T. Tokuda is a pioneering researcher in bio-inspired robotics and nonlinear dynamics, whose work focuses on generating efficient, adaptive locomotion for underactuated robots. His major contributions lie in developing novel control methods that leverage morphological computation and passive dynamics, rather than complex encoding, to achieve natural movement. Tokuda’s research spans snake-like rectilinear gaits, quasi-passive dynamic walking, and sliding locomotion on slippery surfaces, all aimed at enhancing energy efficiency and stability. Notably, his 2017 paper on olivo-cerebellar circuits for learning (26 citations) bridges neuroscience and robotics, while his 2021 work on rectilinear gait generation (26 citations) provides rigorous theoretical analysis for narrow-space navigation. His 2020 study on quasi-passive dynamic walkers (19 citations) demonstrates energy-efficient limit cycle walking on level ground. Tokuda’s recent tensegrity-based legged robot (2025) showcases autonomous gait selection—walking, skipping, and crawling—in response to environmental changes. With over 145 citations across his top ten papers, Tokuda’s research is highly influential, offering profound insights into how simple, indirect control mechanisms can produce robust and versatile robotic locomotion.
Research Focus
Key Achievements
Top Papers
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- 5A novel locomotion robot that slides and rotates on slippery downhill15 citations · 2016
- 6Optimal Input Waveform for an Indirectly Controlled Limit Cycle Walker11 citations · 2018
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- 9Nonlinear Analysis of an Indirectly Controlled Sliding Locomotion Robot8 citations · 2018
- 10Embodying Rather Than Encoding: Undulation with Binary Input6 citations · 2022