Nozomi Akashi
Assistant Professor
Cognitive System Group, Intelligent Science and Technology Course
Graduate School of Informatics, Kyoto University
Email : akashi.nozomi.2a[at]kyoto-u.ac.jp
Fields: Embodied cognitive science, Nonlinear dynamics, Dynamical systems, Soft Robotics, Neuromorphic computing, Morphological computaion
Key words: Physical reservoir computing, Chaos, Random number generation, Anosov system, Spintronics, Pneumatic artificial muscle, Passive dynamic walker
Journal Publications (peer reviewed)
N. Akashi, Y. Kuniyoshi, T. Jo, M. Nishida, R. Sakurai, Y. Wakao, K. Nakajima, Embedding bifurcations into pneumatic artificial muscle, Advanced Science, 2024.
K. Okamoto, N. Akashi, I. Obayashi, K. Nakajima, H. Kokubu, K. Senda, K. Tsuchiya, S. Aoi, Sharp changes in fractal basin of attraction in passive dynamic walking, Nonlinear Dynamics 111, 21941–21955, 2023.
N. Akashi, Y. Kuniyoshi, S. Tsunegi, T. Taniguchi, M. Nishida, R. Sakurai, Y. Wakao, K. Kawashima, K. Nakajima, A Coupled Spintronics Neuromorphic Approach for High-Performance Reservoir Computing, Advanced Intelligent Systems 4: 2200123, 2022.
W. Sun, N. Akashi, Y. Kuniyoshi, K. Nakajima, Physics-informed recurrent neural networks for soft pneumatic actuators, IEEE Robotics and Automation Letters, 7 (3) pp. 6862-6869, 2022.
N. Akashi, K. Nakajima, M. Shibayama, Y. Kuniyoshi, A mechanical true random number generator, New Journal of Physics 24: 013019, 2022.
N. Akashi, T. Yamaguchi, S. Tsunegi, T. Taniguchi, M. Nishida, R. Sakurai, Y. Wakao, K. Nakajima, Input-driven bifurcations and information processing capacity in spintronics reservoirs, Physical Review Research 2: 043303, 2020.
T. Yamaguchi, N. Akashi, K. Nakajima, H. Kubota, S. Tsunegi, T. Taniguchi, Step-like dependence of memory function on pulse width in spintronics reservoir computing, Scientific Reports 10: 19536, 2020.
T. Yamaguchi, N. Akashi, S. Tsunegi, H. Kubota, K. Nakajima, T. Taniguchi, Periodic structure of memory function in spintronics reservoir with feedback current, Physical Review Research 2: 023389, 2020.
T. Yamaguchi, N. Akashi, K. Nakajima, S. Tsunegi, H. Kubota, T. Taniguchi, Synchronization and chaos in a spin torque oscillator with a perpendicularly magnetized free layer, Physical Review B 100: 224422, 2019.
T. Taniguchi, N. Akashi, H. Notsu, M. Kimura, H. Tsukahara, K. Nakajima, Chaos in nanomagnet via feedback current, Physical Review B 100: 174425, 2019.
Conference Papers (peer reviewed)
T. Jong, N. Akashi, T. Taniguchi, H. Notsu, K. Nakajima, Virtual reservoir acceleration for CPU and GPU: Case study for coupled spin-torque oscillator reservoir, NeurIPS 2023 Workshop on Machine Learning with New Compute Paradigms (MLNCP), 2023. arXiv
W. Sun, N. Akashi, Y. Kuniyoshi, K. Nakajima, Self-organization of physics-informed mechanisms in recurrent neural networks: a case study in pneumatic artificial muscles, Proceedings of 2022 IEEE 5th International Conference on Soft Robotics (RoboSoft), pp. 409-415, 2022.
W. Sun, N. Akashi, Y. Kuniyoshi, K. Nakajima, Physics-informed reservoir computing with autonomously switching readouts: a case study in pneumatic artificial muscle, Proceedings of 2021 International Symposium on Micro-NanoMechatronics and Human Science (MHS), pp. 1-6 (6 pages), 2021 (Best Paper Awards).
R. Sakurai, M. Nishida, H. Sakurai, Y. Wakao, N. Akashi, Y. Kuniyoshi, Y. Minami, K. Nakajima, Emulating a sensor using soft material dynamics: A reservoir computing approach to pneumatic artificial muscle, in Proceedings of 2020 3rd IEEE International Conference on Soft Robotics (RoboSoft), pp. 710-717, 2020.
N. Akashi, K. Nakajima, Y. Kuniyoshi, Unpredictable as a Dice: Analyzing Riddled Basin Structures in Passive Dynamic Walker, 2019 International Symposium on Micro-NanoMechatronics and Human Science (MHS2019), pp. 119-123 (4 pages), 2019.
Book Chapters
K. Nakajima, H. Sawada, N. Akashi, Information Processing Using Soft Body Dynamics. In The Science of Soft Robots: Design, Materials and Information Processing (Springer Singapore), pp. 357-392, 2023.
S. Hirai, H. Mochiyama, K. Nakajima, N. Akashi, Modeling and Control of Continuum Body. In The Science of Soft Robots: Design, Materials and Information Processing (Springer Singapore), pp. 279-318, 2023.
K. Nakajima, T. Li, N. Akashi, Soft timer: dynamic clock embedded in soft body. In Robotic Systems and Autonomous Platforms: Advances in Materials and Manufacturing (Woodhead Publishing in Materials ), pp. 181-196, 2018. (peer reviewed)
Preprint
Presentations at International Conference
T. Jong, N. Akashi, T. Taniguchi, H. Notsu, K. Nakajima, Virtual reservoir acceleration for CPU and GPU: Case study for coupled spin-torque oscillator reservoir, NeurIPS 2023 Workshop on Machine Learning with New Compute Paradigms (MLNCP), 16 Dec 2023 (Poster).
N. Akashi, Y. Kuniyoshi, T. Jo, M. Nishida, R. Sakurai, Y. Wakao, K. Nakajima, Embedding bifurcation structures into a soft robotic actuator, 10th International Congresson Industrial and Applied Mathematics (ICIAM2023), 24 Aug 2023. link
K. Okamoto, N. Akashi, I. Obayashi, H. Kokubu, K. Nakajima, K. Senda, K. Tsuchiya, S. Aoi, Sudden change in fractality of basin boundary in passive dynamic walking, The 11th International Symposium on Adaptive Motion of Animals and Machines (AMAM2023), 6 - 9 Jun 2023 (Poster).
T. Taniguchi, S. Tsunegi, T. Yamaguchi, A. Kamimaki, N. Akashi, T. Kubota, K. Nakajima, H. Notsu, M. Kimura, H. Tukahara, J. Grollier, V. Cros, K. Yakushiji, A. Fukushima, S. Yuasa, H. Kubota, Brain-Inspired Computing by Chaotic Spin-torque Oscillator, 67th Annual Conference on Magnetism and Magnetic Materials (MMM 2022), 3 Nov 2022.
W. Sun, N. Akashi, Y. Kuniyoshi, K. Nakajima, Physics-informed recurrent neural networks for soft pneumatic actuators, 2022 IEEE International Conference on Intelligent Robots and Systems (IROS), 25 Oct 2022.
N. Akashi, Y. Kuniyoshi, S. Tsunegi, T. Taniguchi, J. Takemoto, M. Nishida, R. Sakurai, Y. Wakao, K. Kawashima, K. Nakajima, Bifurcations and information-processing capability in physical reservoir computing: Case studies of pneumatic artificial muscles and spintronics devices in 82nd workshop 82nd Workshop: Unconventional Computing: Materials, Science, Informations, Hardware, Software, 23 Oct 2022.
W. Sun, N. Akashi, Y. Kuniyoshi, K. Nakajima, Self-organization of physics-informed mechanisms in recurrent neural networks: a case study in pneumatic artificial muscles, in 2022 IEEE 5th International Conference on Soft Robotics (RoboSoft), 6 Apr 2022.
W. Sun, N. Akashi, Y. Kuniyoshi, K. Nakajima, Physics-informed reservoir computing with autonomously switching readouts: a case study in pneumatic artificial muscle, 2021 International Symposium on Micro-NanoMechatronics and Human Science (MHS2021), 7 Dec 2021.
A. Kamimaki, S. Tsunegi, T. Taniguchi, N. Akashi, K. Nakajima, A. Fukushima, S.Yuasa, V. Cros, J. Grollier and H. Kubota Physical Reservoir Computing by Spin-Torque Oscillator at the Edge of Chaos, 65th Annual Conference on Magnetism and Magnetic Materials (MMM 2020), 2 Nov 2020.
N. Akashi, T. Yamaguchi, S. Tsunegi, T. Taniguchi, M. Nishida, R. Sakurai, Y. Wakao, K. Nakajima, Input-driven bifurcations in spintronics reservoir computing, Second Symposium on Machine Learning and Dynamical Systems, 22 Sep 2020.
R. Sakurai, M. Nishida, H. Sakurai, Y. Wakao, N. Akashi, Y. Kuniyoshi, Y. Minami, K. Nakajima, Emulating a sensor using soft material dynamics: A reservoir computing approach to pneumatic artificial muscle, 2020 3rd IEEE International Conference on Soft Robotics (RoboSoft), May 2020.
N. Akashi, K. Nakajima, Y. Kuniyoshi, Unpredictable as a Dice: Analyzing Riddled Basin Structures in Passive Dynamic Walker, 2019 International Symposium on Micro-NanoMechatronics and Human Science (MHS2019), 3 Dec 2019.
T. Yamaguchi, N. Akashi, K. Nakajima, S. Tsunegi, H. Kubota and T. Taniguchi, Injection Locking of Spin-Torque Oscillator with Perpendicularly Magnetized Free Layer, 64th Annual Conference on Magnetism and Magnetic Materials (MMM 2019), 6 Nov 2019.
Presentations at International Workshop
Nozomi Akashi, Embedding bifurcation structures into a robotic body using physical reservoir computing, Tateyama Dynamics Workshop 2024, 10 Mar 2024
Press Releases
The research results of Advanced Science have been press released from Kyoto University and The University of Tokyo on 19 April 2024.
Kyoto Univ: https://www.kyoto-u.ac.jp/en/research-news/2024-04-26-0
EurekAlert!: https://www.eurekalert.org/news-releases/1042640
The research results of RoboSoft2020 have been press released from The University of Tokyo on 15 May 2020.
Awards
Young Scientist Presentation Award: The Japan Society of Applied Physics (May, 2023).
Best Paper Awards: 32th 2021 International Symposium on Micro-NanoMechatronics and Human Science (December, 2021).
Education
Ph. D. Department of Mechano-Informatics, Graduate School of Information Science and Technology
The University of Tokyo, 2022.
M. S. Department of Applied Analysis and Complex Dynamical Systems, Graduate School of Informatics
Kyoto University, 2017.
B. S. Department of Information and computer science, School of Engineering Science
Osaka University, 2015.