Research Seeds Collection
Mathematically modeling the rules of herd behavior
keyword:
# Autonomous distributed controlResearch
Self-organization phenomena, in which individual elements interact to create order within the whole, are widely observed in nature and social systems. Through mathematical modeling, I aim to elucidate the core principles of self-organization phenomena and, based on these principles, construct "rational" autonomous distributed control methods applicable to various systems.
Research achievements related to the aforementioned seed
- T. Kano, R. Yoshizawa, A. Ishiguro, Tegotae-based Decentralized Control Scheme for Autonomous Gait Transition of Snake-like Robots, Bioinpiration & Biomimetics, 12 (2017), 046009
- T. Kano, E. Sato, T. Ono, H. Aonuma, Y. Matsuzaka, A. Ishiguro, A Brittle Star-like Robot Capable of Immediately Adapting to Unexpected Physical Damage, Royal Society Open Science, 4 (2017), 171200
- T. Mikami, D. Wakita, R. Kobayashi, A. Ishiguro, T. Kano, Elongating, Entwining, and Dragging: Mechanism for Adaptive Locomotion of Tubificine Worm Blobs in a Confined Environment, Frontiers in Neurorobotics, 17 (2023), 1207374
Faculty members involved in this research project
KANO Takeshi
KANO TakeshiDepartment of Complex and Intelligent Systems; Complex Systems Information Science, Intelligent Information and Science Professor