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Norikazu Sugimoto · SciRah

Researcher profile · Semantic Scholar

Norikazu Sugimoto

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Norikazu Sugimoto — researcher profile on SciRah

h-index: 9
Works: 34
Citations: 350

Most-cited papers

Explicit contextual information selectively contributes to predictive switching of internal models
H. Imamizu, Norikazu Sugimoto, R. Osu, Kiyoka Tsutsui +3 more
2007Experimental Brain Research96 citations Open access
Semantic Scholar
Brain-controlled exoskeleton robot for BMI rehabilitation
T. Noda, Norikazu Sugimoto, J. Furukawa, Masa-aki Sato +2 more
2012IEEE-RAS International Conference on Humanoid Robots69 citations
Semantic Scholar
Motion capture and reinforcement learning of dynamically stable humanoid movement primitives
Rok Vuga, M. Ogrinc, A. Gams, Tadej Petrič +3 more
2013IEEE International Conference on Robotics and Automation30 citations Open access
Semantic Scholar
Phase-dependent trajectory optimization for CPG-based biped walking using path integral reinforcement learning
Norikazu Sugimoto, J. Morimoto
2011IEEE-RAS International Conference on Humanoid Robots28 citations
Semantic Scholar
Cross-Element Validation in Multiagent-based Simulation: Switching Learning Mechanisms in Agents
K. Takadama, Yutaka I. Leon-Suematsu, Norikazu Sugimoto, N. E. Nawa +1 more
2003Journal of Artificial Societies and Social Simulation26 citations
Semantic Scholar
MOSAIC for Multiple-Reward Environments
Norikazu Sugimoto, M. Haruno, K. Doya, M. Kawato
2012Neural Computation23 citations
Semantic Scholar
Brain-machine interfacing control of whole-body humanoid motion
Karim Bouyarmane, Joris Vaillant, Norikazu Sugimoto, François Keith +2 more
2014Frontiers in Systems Neuroscience18 citations Open access
Semantic Scholar
Integrating surface-based hypotheses and manipulation for autonomous segmentation and learning of object representations
A. Ude, David Schiebener, Norikazu Sugimoto, J. Morimoto
2012IEEE International Conference on Robotics and Automation11 citations
Semantic Scholar
Trajectory-model-based reinforcement learning: Application to bimanual humanoid motor learning with a closed-chain constraint
Norikazu Sugimoto, J. Morimoto
2013IEEE-RAS International Conference on Humanoid Robots10 citations
Semantic Scholar
Selecting Optimal Behaviors Based on Contexts
K. Doya, Norikazu Sugimoto, D. Wolpert, M. Kawato
20039 citations
Semantic Scholar
Trial and Error: Using Previous Experiences as Simulation Models in Humanoid Motor Learning
Norikazu Sugimoto, Voot Tangkaratt, Thijs Wensveen, Tingting Zhao +2 more
2016IEEE robotics & automation magazine7 citations
Semantic Scholar
Switching multiple LQG controllers based on bellman's optimality principle: Using full-state feedback to control a humanoid robot
Norikazu Sugimoto, J. Morimoto
20112011 IEEE/RSJ International Conference on Intelligent Robots and Systems5 citations
Semantic Scholar
Curriculum-based humanoid robot identification using large-scale human motion database
Sunhwi Kang, Koji Ishihara, Norikazu Sugimoto, Jun Morimoto
2023Frontiers Robotics AI3 citations Open access
Semantic Scholar
Real-time Utilization of System-scale Neuroscience Models
J. Morén, Norikazu Sugimoto, Kenji Doya
20153 citations Open access
Semantic Scholar
Efficient reuse of previous experiences in humanoid motor learning
Norikazu Sugimoto, Voot Tangkaratt, Thijs Wensveen, Tingting Zhao +2 more
2014IEEE-RAS International Conference on Humanoid Robots3 citations
Semantic Scholar
Towards Verification and Validation in Multiagent-Based Systems and Simulations: Analyzing Different Learning Bargaining Agents
K. Takadama, Yutaka I. Leon-Suematsu, Norikazu Sugimoto, N. E. Nawa +1 more
2003mAbs3 citations
Semantic Scholar
Off-line path integral reinforcement learning using stochastic robot dynamics approximated by sparse pseudo-input Gaussian processes: Application to humanoid robot motor learning in the real environment
Norikazu Sugimoto, J. Morimoto
2013IEEE International Conference on Robotics and Automation2 citations
Semantic Scholar
Reinforcement Learning with Reusing Mechanism of Avoidance Actions and its Application to Learning Whole-Body Motions of Multi-Link Robot
A. Yamaguchi, Norikazu Sugimoto, M. Kawato
20092 citations Open access
Semantic Scholar
Actuator Reality Shaping for Zero-Shot Sim-to-Real Robot Learning
Satoshi Yamamori, Koji Ishihara, Kenjiro Minamikawa, Ryosei Ohmori +3 more
2026arXiv.org1 citations
Semantic Scholar
BCI Control of Whole-Body Simulated Humanoid by Combining Motor Imagery Detection and Autonomous Motion Planning
Karim Bouyarmane, Joris Vaillant, Norikazu Sugimoto, François Keith +2 more
2013International Conference on Neural Information Processing1 citations
Semantic Scholar
Goal-Conditioned Terminal Value Estimation for Real-time and Multi-task Model Predictive Control
M. Morita, Satoshi Yamamori, Satoshi Yagi, Norikazu Sugimoto +1 more
2024arXiv.org0 citations
Semantic Scholar
Inter-individual variability in motor learning due to differences in effective learning rates between generalist and specialist memory stores
R. Osu, Norikazu Sugimoto, Toshinori Yoshioka, N. Schweighofer +1 more
2024bioRxiv0 citations Open access
Semantic Scholar
P4-u07 Signal and noise in a biologically realistic spiking neural network model of the striatum
A. Ponzi, Jeff Wickens, Takamitsu Matsubara, S. Hyon +4 more
20180 citations
Semantic Scholar
トップ・エンジニア養成コーナ最新アナログICの要!CMOSトランジスタ技術入門 6 アンプ性能対決!MOSFET入力vsバイポーラ入力
Norikazu Sugimoto
20170 citations
Semantic Scholar
Efficient Reuse of Previous Experiences to Improve Policies in Real Environment
Norikazu Sugimoto, Voot Tangkaratt, Thijs Wensveen, Tingting Zhao +2 more
2014arXiv.org0 citations
Semantic Scholar
Hierarchical reinforcement learning for biped locomotion
Norikazu Sugimoto, S. Hyon, J. Morimoto
20090 citations
Semantic Scholar
—オータムスクールASCONE07脳科学への数理的アプローチ— 田中宏和先生 ASCONE2007 講義録「ロコモーションの計算理論—生物とロボットの接点—」
Norikazu Sugimoto, Yuka Ariki
20080 citations Open access
Semantic Scholar
MOSAIC for Multiple-Reward Environments
Norikazu Sugimoto, M. Haruno, K. Doya, M. Kawato
20080 citations
Semantic Scholar
A Modification Algorithm of Function Approximator for the Reinforcement Learning with Reusing Mechanism of Avoidance Actions -- Proposal and its Application to Motion Learning of Multi-Link Robot
A. Yamaguchi, Norikazu Sugimoto, Kawato Mitsuo
20070 citations
Semantic Scholar
ESTIMATING INTENTION OF OTHERS FOR IMITATION AND COOPERATION
Norikazu Sugimoto, K. Doya, M. Kawato
20050 citations
Semantic Scholar
Reinforcement Learning and Models of Intention( A Wide Spectrum of Research in Intention)
K. Samejima, Norikazu Sugimoto, K. Samejima, Norikazu Sugimoto
20050 citations
Semantic Scholar
Evolution of Communication by Using Common Symbol
Norikazu Sugimoto, Doya Kenji, Kawato Mitsuo
20050 citations
Semantic Scholar
Imitation Learning by Estimating Intention of Demonstrator
Norikazu Sugimoto, K. Doya, M. Kawato
20030 citations
Semantic Scholar

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