Norikazu Sugimoto

18 papers A* 3A 1C 1Journal 7Unranked 6

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Goal-Conditioned Terminal Value Estimation for Real-time and Multi-task Model Predictive Control. CoRR Mitsuki Morita, Satoshi Yamamori, Satoshi Yagi, Norikazu Sugimoto, Jun Morimoto
2023	J	`jnl`	Curriculum-based humanoid robot identification using large-scale human motion database. Frontiers Robotics AI Sunhwi Kang, Koji Ishihara, Norikazu Sugimoto, Jun Morimoto
2016	J	`jnl`	Trial and Error: Using Previous Experiences as Simulation Models in Humanoid Motor Learning. IEEE Robotics Autom. Mag. Norikazu Sugimoto, Voot Tangkaratt, Thijs Wensveen, Tingting Zhao, Masashi Sugiyama, Jun Morimoto
2014	J	`jnl`	Efficient Reuse of Previous Experiences to Improve Policies in Real Environment. CoRR Norikazu Sugimoto, Voot Tangkaratt, Thijs Wensveen, Tingting Zhao, Masashi Sugiyama, Jun Morimoto
2014	—	`conf`	Efficient reuse of previous experiences in humanoid motor learning. Humanoids Norikazu Sugimoto, Voot Tangkaratt, Thijs Wensveen, Tingting Zhao, Masashi Sugiyama, Jun Morimoto
2013	—	`conf`	BCI Control of Whole-Body Simulated Humanoid by Combining Motor Imagery Detection and Autonomous Motion Planning. ICONIP (1) Karim Bouyarmane, Joris Vaillant, Norikazu Sugimoto, François Keith, Jun-ichiro Furukawa, Jun Morimoto
2013	A*	`conf`	Motion capture and reinforcement learning of dynamically stable humanoid movement primitives. ICRA Rok Vuga, Matjaz Ogrinc, Andrej Gams, Tadej Petric, Norikazu Sugimoto, Ales Ude, Jun Morimoto
2013	A*	`conf`	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. ICRA Norikazu Sugimoto, Jun Morimoto
2013	—	`conf`	Trajectory-model-based reinforcement learning: Application to bimanual humanoid motor learning with a closed-chain constraint. Humanoids Norikazu Sugimoto, Jun Morimoto
2012	—	`conf`	Brain-controlled exoskeleton robot for BMI rehabilitation. Humanoids Tomoyuki Noda, Norikazu Sugimoto, Jun-ichiro Furukawa, Masa-aki Sato, Sang-Ho Hyon, Jun Morimoto
2012	A*	`conf`	Integrating surface-based hypotheses and manipulation for autonomous segmentation and learning of object representations. ICRA Ales Ude, David Schiebener, Norikazu Sugimoto, Jun Morimoto
2012	J	`jnl`	MOSAIC for Multiple-Reward Environments. Neural Comput. Norikazu Sugimoto, Masahiko Haruno, Kenji Doya, Mitsuo Kawato
2012	J	`jnl`	The eMOSAIC model for humanoid robot control. Neural Networks Norikazu Sugimoto, Jun Morimoto, Sang-Ho Hyon, Mitsuo Kawato
2011	—	`conf`	Phase-dependent trajectory optimization for CPG-based biped walking using path integral reinforcement learning. Humanoids Norikazu Sugimoto, Jun Morimoto
2011	A	`conf`	Switching multiple LQG controllers based on Bellman's optimality principle: Using full-state feedback to control a humanoid robot. IROS Norikazu Sugimoto, Jun Morimoto
2010	—	`conf`	eMOSAIC Model for Humanoid Robot Control. SAB Norikazu Sugimoto, Jun Morimoto, Sang-Ho Hyon, Mitsuo Kawato
2003	J	`jnl`	Cross-Element Validation in Multiagent-based Simulation: Switching Learning Mechanisms in Agents. J. Artif. Soc. Soc. Simul. Keiki Takadama, Yutaka L. Suematsu, Norikazu Sugimoto, Norberto Eiji Nawa, Katsunori Shimohara
2003	C	`conf`	Towards Verification and Validation in Multiagent-Based Systems and Simulations: Analyzing Different Learning Bargaining Agents. MABS Keiki Takadama, Yutaka L. Suematsu, Norikazu Sugimoto, Norberto Eiji Nawa, Katsunori Shimohara