Curriculum Vitae
Personal Details:
Name:

Yasuo Kuniyoshi (Male, Born in 1962).

Titles:Bachelor of Engineering
Departtment of Applied Physics,
School of Engineering, The University of Tokyo
Master of Engineering
Department of Information Technology,
School of Engineering, The University of Tokyo
Doctor of Engineering
Department of Information Technology,
School of Engineering, The University of Tokyo

Title of current
Appointment andDepartment

Professor.
Department of Mechano-Informatics,
School of Information Science and Technology,
The University of Tokyo
Director
Next Generation Artificial Intelligence Research Center (AI Center)
The University of Tokyo

Joint Appointment

Director
BTCC (RIKEN CBS-Toyota Collaboration Center)
RIKEN

Contact Address

Department of Mechano-Informatics,
School of Information Science and Technology,
The University of Tokyo
7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, JapanLanguages

Japanese (mother tongue), English (fluent)

Education:
1985 Bachelor of Engineeirng, Department of Applied Physics, School of Engineering,
The University of Tokyo
1988 Master of Engineering, Department of Information Technology, School of Engineering,
The University of Tokyo
1991 Doctor of Engineering, Department of Information Technology, School of Engineering,
The University of Tokyo
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Career History:
1991
1995
1995
1996

Research Scientist at Intelligent Systems Division, Electrotechnical Laboratory, AIST
Visiting Researcher (invited) at Academia Sinica, Taiwan (The Republic of China)
Senior Research Scientist at Intelligent Systems Division, Electrotechnical Laboratory, AISTVisiting Scientist at Dept. of Computer Science, University of Wollongong and Dept. of Computer
Science, Monash University, Australia
1996～1997 Visiting Scholar at MIT Artificial Intelligence Laboratory
2001 Associate Professor, The University of Tokyo
2005 Professor, The Universiy of Tokyo
2008 Associate Member of Science Council of Japan
2005 Professor, The Universiy of Tokyo
2008 Associate Member of Science Council of Japan
2012 Fellow, Robotics Society of Japan
2012 Director (Joint App.), BTCC (RIKEN BSI-Toyota Collaboration Center), RIKEN
2016 Director, Next Generation Artificial Intelligence Research Center (AI Center), The University of Tokyo

Awards:1993 International Joint Conference on Artificial Intelligence (IJCAI) Outstanding Paper Award.
1996 Robotics Society of Japan, Outstanding Paper Award.
2007 Okawa Publications Prize.
2007 T.-J. Tarn Best Paper Award in Robotics.
2008 SAB Best Philosophy Paper Award.
2009 Gold Medal, Tokyo Techno Forum 21.
2014 Best Teaching Award of the Faculty of Engineeing, The University of Tokyo (For “Robot Intelligence”).
And 11 other.

Publications:
78 Refereed journal papers, 217 Refereed conference papers, 45 Review articles, 18 Books (co-authored oredited), 35 Invited talks at international conferences/workshops, 14 Patents (incl. pending), 367 Unrefereed
conference/workshop papers.
Important papers:[1] Y. Kuniyoshi and H. Inoue: Qualitative Recognition of Ongoing Human Action Sequences, Proceedings ofInternational Joint Conference on Artificial Intelligence, pp.1600--1609, 1993. (Outstanding Paper Award).
[2] Y. Kuniyoshi, S. Rougeaux, M. Ishii, N. Kita, S. Sakane, and M. Kakikura: Cooperation by Observation --- The
Framework and Basic Task Patterns ---, Proceedings of IEEE International Conference on Robotics andAutomation, pp. 767-774, 1994.
[3] Y. Kuniyoshi, M. Inaba and H. Inoue: Learning by Watching: Extracting Reusable Task Knowledge from Visual
Observation of Human Performance, IEEE Transactions on Robotics and Automation, vol.10, no. 6, pp.799-822,Dec., 1994.
[4] Y. Kuniyoshi, N. Kita, K. Sugimoto, S. Nakamura, and T. Suehiro: A Foveated Wide Angle Lens for Active
Vision, Proceedings of IEEE International Conference on Robotics and Automation, pp.2982-2988, 1995.
[5] A. Zelinsky and Y. Kuniyoshi: Learning to Coordinate Behaviours for Robot Navigation, Advanced Robotics,
vol.10, No. 2, pp.143-159, 1996.
[6] Y. Kuniyoshi and L. Berthouze: Neural Learning of Embodied Interaction Dynamics, Neural Networks, Vol. 11,2

No.7-8, pp.1259-1276, Oct.,1998.
Y. Kuniyoshi, G. Cheng and A. Nagakubo, ETL-Humanoid: A Research Vehicle for Open-ended Action
Imitation, Proc. of International Symposium on Robotics Research, pp. 42-49, 2001. (Also in: Raymond A.
Jarvis and Alexander Zelinky (eds), Robotics Research: The Tenth International Symposium, Springer Tracts in
Advanced Robotics, vol. 6, ISSN: 1610-7438, pp. 67-82, 2003.)[8] Y. Kuniyoshi, Y. Yorozu, M. Inaba and H. Inoue, From Visuo-Motor Self Learning to Early Imitation -- A NeuralArchitecture for Humanoid Learning, Proc. IEEE Int. Conf. on Robotics and Automation, pp.3132-3139, 2003.
[9] Y. Kuniyoshi and S. Suzuki, Dynamic Emergence and Adaptation of Behavior Through Embodiment as
Coupled Chaotic Field, Proc. IEEE Int. Conf. on Intelligent Robots and Systems, pp.2042-2049, 2004.
[10] Y. Kuniyoshi, Y. Ohmura, K. Terada, A. Nagakubo, S. Eitoku, T. Yamamoto: Embodied Basis of Invariant
Features in Execution and Perception of Whole Body Dynamic Actions --- Knacks and Focuses of Roll-and-RiseMotion, Robotics and Autonomous Systems, vol.48, no.4, pp.189-201, Oct., 2004.
[11] Y. Kuniyoshi, R. Fukano, T. Otani, T. Kobayashi, N. Otsu: Haptic Detection of Object Affordances by aMulti-Fingered Robot Hand, International Journal of Humanoid Robotics, vol.2, no. 4, pp.415-436, Dec., 2005.
[12] A. Pitti, M. Lungarella, and Y. Kuniyoshi, "Quantification of Emergent Behaviors Induced by Feedback
Resonance of Chaos", Recent Advances in Artificial Life: Advances in Natural Computation, 3(15):199-213,
2005.
[13] C. Nabeshima, Y. Kuniyosh, and M. Lungarella, “Adaptive Body Schema for Robotic Tool Use”,
AdvancedRobotics, vol. 20, no. 10, pp. 1105—1126, 2006.
[14] Y. Kuniyoshi and S. Sangawa, Early Motor Development from Partially Ordered Neural-Body Dynamics -Experiments with A Cortico-Spinal-Musculo-Skeletal Model, Biological Cybernetics, vol. 95, no. 6, pp. 589-605,
Dec., 2006.
[15] M. Lungarella, K. Ishiguro, Y. Kuniyoshi, and N. Otsu, Methods for quantifying the causal structure of bivariate
time series, Journal of Bifurcation and Chaos, Vol. 17, No. 3, pp. 1-19, 2007.
[16] K. Takenaka, Y. Nagasaka, S. Hihara, H. Nakahara, A. Iriki, Y. Kuniyoshi, and N. Fujii: Linear Discrimination
Analysis of Monkey Behavior in an Alternative Free ChoiceTask, Journal of Robotics and Mechatronics, Vol.19,
No.4, pp.416-422, Aug, 2007[17] Y. Kuniyoshi, Y. Yorozu, S. Suzuki, S. Sangawa, Y. Ohmura, K. Terada and A. Nagakubo: Emergence andDevelopment of Embodied Cognition: A Constructivist Approach Using Robots, Progress in Brain Research,
vol.164, p.425-445, ISSN 0079-6123, 2007.
[18] M. Lungarella, A. Pitti, and Y. Kuniyoshi: Information transfer at multiple scales, Physical Review E, Vol.76,056117, 27th November 2007.
[19] K. Ishiguro, N. Otsu, M. Lungarella, and Y. Kuniyoshi: Detecting direction of causal interactions between
dynamically coupled signals, Physical Review E, Vol.77, 026216, February, 2008.
[20] K. Ishiguro, N. Otsu, M. Lungarella, and Y. Kuniyoshi: Comparison of nonlinear Granger causality extensions
for low-dimensional systems, Physical Review E, Vol.77, 036217, 25th March, 2008.
[21] A. Pitti, H. Alirezaei, Y. Kuniyoshi: Cross-modal and scale-free action representations through enaction, NeuralNetworks, Vol. 22, Issue 2, p.144-154, March, 2009[22] A. Pitti, H. Mori, S. Kouzuma and Y. Kuniyoshi: Contingency Perception and Agency Measure in Visuo-Motor
Spiking Neural Networks, IEEE Transactions on Autonomous Mental Development, Vol.1, No. 1, pp.86-97,May, 2009.
[23] A. Pitti, R. Niiyama, Y. Kuniyoshi: Creating and modulating rhythms by controlling the physics of the body,Autonomous Robots, Volume 28, no.3, pp. 317-329, April, 2010.
[24] T. Harada, H. Nakayama, Y. Kuniyoshi and N. Otsu: Image Annotation and Retrieval for Weakly LabeledImages Using Conceptual Learning, New Generation Computing, Vol.28, No.3, pp.277-298, 2010.
[25] T. Shibuya, T. Harada and Y. Kuniyoshi: Reliable index for measuring information flow, PHYSICAL REVIEW
E, Vol.84, Issue 6, pp.061109-1 - 061109-7, December, 2011.
[26] R. Niiyama, S. Nishikawa and Y. Kuniyoshi: A Boimechanical Approach for Openloop Bipedal Running with a
Musculoskeletal Athlete Robot, Advanced Robotics "Cutting Edge of Robotics in Japan 2012", Vol.26,No.1,2012.
[27] S. Yonekura, Y. Kuniyoshi, Y. Kawaguchi: Growth of stochastic resonance in neuronal ensembles with the input
signal intensity, Phys. Rev. E 86, 011922 , 2012.
[28] A. Pitti, Y. Kuniyoshi, M. Quoy, P. Gaussier: Modeling the Minimal Newborn's Intersubjective Mind: theVisuotopic-Somatotopic Alignment Hypothesis in the Superior Colliculus, PLOS ONE, Vol.8, No.7, pp.1--14,
2013.

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[29] S. Nishikawa, K. Tanaka, K. Shida, T. Fukushima, R. Niiyama and Y. Kuniyoshi: A Musculoskeletal Bipedal
Robot Designed with Angle-Dependent Moment Arm for Dynamic Motion from Multiple States, Advanced
Robotics "Cutting Edge of Robotics in Japan 2014", Vol.28, No.7, 2014.
[30] M. Osumi, M. Sumitani, N. Wake, Y. Sano, A. Ichinose, S. Kumagaya, Y. Kuniyoshi: Structured movement
representations of a phantom limb associated with phantom limb pain, Neuroscience Letters, Vol.605, pp.7-11,
2015.
[31] Y. Ohmura, H. Gima, H. Watanabe, G. Taga, Y. Kuniyoshi: Developmental change in intralimb coordination
during spontaneous movements of human infants from 2 to 3 months of age, Experimental Brain Research; doi:
10.1007/s00221-016-4621-9, Vol.234, No.8, pp.2179-2188, 2016.
[32] Y. Yamada, H. Kanazawa, S. Iwasaki, Y. Tsukahara, O. Iwata, S. Yamada and Y. Kuniyoshi: An Embodied Brain
Model of the Human Foetus, Scientific Reports, 27893; doi: 10.1038/srep27893, Vol.6, 2016.
[33] Y. Sano, N. Wake, A. Ichinose, M. Osumi, R.Oya, M. Sumitani, S. Kumagaya and Y. Kuniyoshi: Tactilefeedback for relief of deafferentation pain using virtual reality system: a pilot study, Journal of NeuroEngineeringand Rehabilitation, DOI: 10.1186/s12984-016-0161-6, Vol.13, No.61, 2016.
[34] A. Ichinose, Y. Sano, M. Osumi, M. Sumitani, S. Kumagaya, Y. Kuniyoshi: Somatosensory Feedback to theCheek During Virtual Visual Feedback Therapy Enhances Pain Alleviation for Phantom Arms,
Neurorehabilitation and Neural Repair; doi: 10.1177/1545968317718268, 2017.
[35] Y. Ohmura, Y. Kuniyoshi: A translational model to determine rodent’s age from human foetal age, ScientificReports 7(17248), doi:10.1038/s41598-017-17571-z, 2017.
[36] S. Yonekura and Y. Kuniyoshi: Bodily motion fluctuation improves reaching success rate in a neurophysical
agent
via
geometric-stochastic
resonance,PLoS
ONE
12(12):
e0188298.
https://doi.org/10.1371/journal.pone.0188298, 2017.
[37] Y. Ohmura, S. Morokuma, K. Kato, Y. Kuniyoshi: Species-specific posture of human foetus in late first trimester,
Scientific reports 8(27), doi:10.1038/s41598-017-18384-w, 2018.][38] S. Nishikawa, Y. Arai, R. Niiyama and Y. Kuniyoshi: Coordinated Use of Structure-Integrated Bistable Actuation
Modules for Agile Locomotion, IEEE Robotics and Automation Letters, DOI: 10.1109/LRA.2018.2794617,
Vol.3, No.2, pp.1018-1024, 2018.

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