Seiya Kasai
Papers
3
Total Citations
14
H-Index
3
About
Seiya Kasai is a pioneering researcher at the intersection of bio-inspired computing, nonlinear dynamics, and robotics. His most celebrated contribution is the development of the "electronic amoeba"—a novel computing system that mimics the foraging behavior of a single-celled organism to solve complex combinatorial optimization problems. This work, detailed in his highly cited 2018 paper, demonstrates how biological principles can be harnessed for efficient, parallelized problem-solving, with direct applications in robotics, such as finding optimal walking maneuvers for multi-legged robots. Kasai’s research also explores the serendipitous connections between oscillatory chemical reactions and computational physics, as well as practical innovations in human-machine interfaces. His 2016 study on robust myoelectric signal detection leverages stochastic resonance and a flexible carbon nanotube composite paper electrode array to improve surface EMG signal clarity—a key advance for prosthetic control and wearable sensors. With a career marked by transdisciplinary creativity, Kasai continues to bridge fundamental nonlinear science and tangible engineering solutions, inspiring students to look beyond traditional boundaries in computation and robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3