フォロー
Hiroaki Arie
Hiroaki Arie
DENSO CORPORATION
確認したメール アドレス: sugano.mech.waseda.ac.jp - ホームページ
タイトル
引用先
引用先
Multimodal integration learning of robot behavior using deep neural networks
K Noda, H Arie, Y Suga, T Ogata
Robotics and Autonomous Systems 62 (6), 721-736, 2014
2112014
Learning to reproduce fluctuating time series by inferring their time-dependent stochastic properties: Application in robot learning via tutoring
S Murata, J Namikawa, H Arie, S Sugano, J Tani
IEEE Transactions on Autonomous Mental Development 5 (4), 298-310, 2013
892013
Learning to perceive the world as probabilistic or deterministic via interaction with others: A neuro-robotics experiment
S Murata, Y Yamashita, H Arie, T Ogata, S Sugano, J Tani
IEEE transactions on neural networks and learning systems 28 (4), 830-848, 2015
572015
Emergence of hierarchical structure mirroring linguistic composition in a recurrent neural network
W Hinoshita, H Arie, J Tani, HG Okuno, T Ogata
Neural Networks 24 (4), 311-320, 2011
502011
Dynamical integration of language and behavior in a recurrent neural network for human–robot interaction
T Yamada, S Murata, H Arie, T Ogata
Frontiers in neurorobotics 10, 5, 2016
432016
Hyperbolic positioning with antenna arrays and multi-channel pseudolite for indoor localization
K Fujii, Y Sakamoto, W Wang, H Arie, A Schmitz, S Sugano
Sensors 15 (10), 25157-25175, 2015
362015
Imitating others by composition of primitive actions: A neuro-dynamic model
H Arie, T Arakaki, S Sugano, J Tani
Robotics and Autonomous Systems 60 (5), 729-741, 2012
352012
Creating novel goal-directed actions at criticality: A neuro-robotic experiment
H Arie, T Endo, T Arakaki, S Sugano, J Tani
New Mathematics and Natural Computation 5 (01), 307-334, 2009
332009
Creating novel goal-directed actions at criticality: A neuro-robotic experiment
H Arie, T Endo, T Arakaki, S Sugano, J Tani
New Mathematics and Natural Computation 5 (01), 307-334, 2009
332009
Neuro-robotics study on integrative learning of proactive visual attention and motor behaviors
S Jeong, H Arie, M Lee, J Tani
Cognitive neurodynamics 6, 43-59, 2012
252012
Multimodal integration learning of object manipulation behaviors using deep neural networks
K Noda, H Arie, Y Suga, T Ogata
2013 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2013
212013
Synthetic approach to understanding meta-level cognition of predictability in generating cooperative behavior
J Namikawa, R Nishimoto, H Arie, J Tani
Advances in Cognitive Neurodynamics (III) Proceedings of the Third …, 2013
192013
Reinforcement learning of a continuous motor sequence with hidden states
H Arie, T Ogata, J Tani, S Sugano
Advanced Robotics 21 (10), 1215-1229, 2007
192007
Representation learning of logic words by an RNN: from word sequences to robot actions
T Yamada, S Murata, H Arie, T Ogata
Frontiers in neurorobotics 11, 70, 2017
162017
Sensor prediction and grasp stability evaluation for in-hand manipulation
K Kojima, T Sato, A Schmitz, H Arie, H Iwata, S Sugano
2013 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2013
162013
Learning to achieve different levels of adaptability for human–robot collaboration utilizing a neuro-dynamical system
S Murata, Y Li, H Arie, T Ogata, S Sugano
IEEE Transactions on Cognitive and Developmental Systems 10 (3), 712-725, 2018
152018
Emergence of interactive behaviors between two robots by prediction error minimization mechanism
Y Chen, S Murata, H Arie, T Ogata, J Tani, S Sugano
2016 Joint IEEE International Conference on Development and Learning and …, 2016
152016
Integrative learning between language and action: A neuro-robotics experiment
H Arie, T Endo, S Jeong, M Lee, S Sugano, J Tani
Artificial Neural Networks–ICANN 2010: 20th International Conference …, 2010
152010
High-accuracy IMES localization using a movable receiver antenna and a three-axis attitude sensor
Y Sakamoto, H Arie, T Ebinuma, K Fujii, S Sugano
2011 International Conference on Indoor Positioning and Indoor Navigation, 1-6, 2011
142011
Learning to generate proactive and reactive behavior using a dynamic neural network model with time-varying variance prediction mechanism
S Murata, H Arie, T Ogata, S Sugano, J Tani
Advanced Robotics 28 (17), 1189-1203, 2014
122014
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論文 1–20