Unpredictable as dice: analyzing riddled basin structures in a passive dynamic walker. - Nozomi Akashi; Kohei Nakajima; Yasuo Kuniyoshi (MHS, 2019)

Emulating a sensor using soft material dynamics: A reservoir computing approach to pneumatic artificial muscle. - Ryo Sakurai; Mitsuhiro Nishida; Hideyuki Sakurai; Yasumichi Wakao; Nozomi Akashi; Yasuo Kuniyoshi; Yuna Minami; Kohei Nakajima (RoboSoft, 2020)

Physics-informed reservoir computing with autonomously switching readouts: a case study in pneumatic artificial muscles. - Wentao Sun; Nozomi Akashi; Yasuo Kuniyoshi; Kohei Nakajima (MHS, 2021)

Self-Organization of Physics-Informed Mechanisms in Recurrent Neural Networks: A Case Study in Pneumatic Artificial Muscles. - Wentao Sun; Nozomi Akashi; Yasuo Kuniyoshi; Kohei Nakajima (RoboSoft, 2022)

A Coupled Spintronics Neuromorphic Approach for High-Performance Reservoir Computing. - Nozomi Akashi; Yasuo Kuniyoshi; Sumito Tsunegi; Tomohiro Taniguchi; Mitsuhiro Nishida; Ryo Sakurai; Yasumichi Wakao; Kenji Kawashima; Kohei Nakajima (Adv. Intell. Syst., 2022)

Physics-Informed Recurrent Neural Networks for Soft Pneumatic Actuators. - Wentao Sun; Nozomi Akashi; Yasuo Kuniyoshi; Kohei Nakajima (IEEE Robotics Autom. Lett., 2022)

Embedding bifurcations into pneumatic artificial muscle. - Nozomi Akashi; Yasuo Kuniyoshi; Taketomo Jo; Mitsuhiro Nishida; Ryo Sakurai; Yasumichi Wakao; Kohei Nakajima (CoRR, 2023)

Virtual reservoir acceleration for CPU and GPU: Case study for coupled spin-torque oscillator reservoir. - Thomas Geert de Jong; Nozomi Akashi; Tomohiro Taniguchi; Hirofumi Notsu; Kohei Nakajima (CoRR, 2023)

Exploiting Chaotic Dynamics as Deep Neural Networks. - Shuhong Liu; Nozomi Akashi; Qingyao Huang; Yasuo Kuniyoshi; Kohei Nakajima (CoRR, 2024)

Incorporating Coupling Knowledge into Echo State Networks for Learning Spatiotemporally Chaotic Dynamics. - Kuei-Jan Chu; Nozomi Akashi; Akihiro Yamamoto (CoRR, 2025)