Hiroaki Arie

发表

2A1-B10 Control of Tendon-driven Robot Arm Using Neural Network : Learning of Inverse Model form Random Movements

Tetsuya Ogata, Shigeki Sugano, Hiroaki Arie, 2007 .

Attractor representations of language-behavior structure in a recurrent neural network for human-robot interaction

Tetsuya Ogata, Hiroaki Arie, Tatsuro Yamada, 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Accurate indoor positioning using IMES radio

Shigeki Sugano, Yoshihiro Sakamoto, Kenjiro Fujii, 2015, 2015 IEEE International Conference on Mechatronics and Automation (ICMA).

Acquisition of Viewpoint Transformation and Action Mappings via Sequence to Sequence Imitative Learning by Deep Neural Networks

Tetsuya Ogata, Hiroaki Arie, Shingo Murata, 2018, Front. Neurorobot..

2P1-G06 Brain-inspired model of motor learning mechanism for object manipulation : Co-learning model of body image and desired behavior

Tetsuya Ogata, Shigeki Sugano, Hiroaki Arie, 2008 .

Multimodal integration learning of object manipulation behaviors using deep neural networks

Yuki Suga, Tetsuya Ogata, Hiroaki Arie, 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Learning to Perceive the World as Probabilistic or Deterministic via Interaction With Others: A Neuro-Robotics Experiment

Shigeki Sugano, Tetsuya Ogata, Hiroaki Arie, 2017, IEEE Transactions on Neural Networks and Learning Systems.

1P1-B03 Adaptive Behavior Generation using Attractor Dynamics of Recurrent Neural Network(Neurorobotics & Cognitive Robotics)

Yuki Suga, Tetsuya Ogata, Hiroaki Arie, 2013 .

Generation of sensory reflex behavior versus intentional proactive behavior in robot learning of cooperative interactions with others

Shigeki Sugano, Tetsuya Ogata, Hiroaki Arie, 2014, 4th International Conference on Development and Learning and on Epigenetic Robotics.

Sensor prediction and grasp stability evaluation for in-hand manipulation

Shigeki Sugano, Hiroyasu Iwata, Hiroaki Arie, 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Analysis of imitative interactions between humans and a robot with a neuro-dynamical system

Shigeki Sugano, Tetsuya Ogata, Hiroaki Arie, 2016, 2016 IEEE/SICE International Symposium on System Integration (SII).

Emergence of hierarchical structure mirroring linguistic composition in a recurrent neural network

Tetsuya Ogata, Hiroshi G. Okuno, Hiroaki Arie, 2011, Neural Networks.

Developmental learning of integrating visual attention shifts and bimanual object grasping and manipulation tasks

Minho Lee, Hiroaki Arie, Jun Tani, 2010, 2010 IEEE 9th International Conference on Development and Learning.

A New Image Processing Method for 4-Dimensional MRI

Takeshi Hirose, Hiroaki Arie, Yoshio Aoki, 2002 .

Acquisition of viewpoint representation in imitative learning from own sensory-motor experiences

Tetsuya Ogata, Hiroaki Arie, Shingo Murata, 2015, 2015 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob).

Representation Learning of Logic Words by an RNN: From Word Sequences to Robot Actions

Tetsuya Ogata, Hiroaki Arie, Tatsuro Yamada, 2017, Front. Neurorobot..

Dynamical Linking of Positive and Negative Sentences to Goal-Oriented Robot Behavior by Hierarchical RNN

Tetsuya Ogata, Hiroaki Arie, Tatsuro Yamada, 2016, ICANN.

2P1-J04 Indoor Positioning for Robots Using a Single Pseudolite and Movable Receiver(Integrating Ambient Intelligence)

Yoshihiro Sakamoto, Hiroaki Arie, Takuji Ebinuma, 2011 .

Learning of Labeling Room Space for Mobile Robots Based on Visual Motor Experience

Tetsuya Ogata, Hiroaki Arie, Tatsuro Yamada, 2017, ICANN.

Learning to reproduce fluctuating behavioral sequences using a dynamic neural network model with time-varying variance estimation mechanism

Shigeki Sugano, Hiroaki Arie, Jun Tani, 2013, 2013 IEEE Third Joint International Conference on Development and Learning and Epigenetic Robotics (ICDL).

Tool-Body Assimilation Model Based on Body Babbling and a Neuro-Dynamical System for Motion Generation

Shigeki Sugano, Kuniyuki Takahashi, Tetsuya Ogata, 2014, ICANN.

3P2-P03 Object Manipulation Behavior Recognition of a Humanoid Robot using a Sensory-motor Integration Mechanism by Deep Neural Network(Neurorobotics & Cognitive Robotics)

Yuki Suga, Tetsuya Ogata, Hiroaki Arie, 2014 .

3P2-P02 Tool-body Assimilation Model based on Body Babbling and a Neuro-dynamical System for Acquiring Representaion of Tool Function(Neurorobotics & Cognitive Robotics)

Tetsuya Ogata, Shigeki Sugano, Kuniyuki Takahashi, 2014 .

Human-Robot Collaborative Assembly with Hierarchical Goal Planning by LSTM-RNN

Shigeki Sugano, Hiroaki Arie, Tetsuya Ogata, 2018 .

Learning and Recognition of Multiple Fluctuating Temporal Patterns Using S-CTRNN

Shigeki Sugano, Tetsuya Ogata, Hiroaki Arie, 2014, ICANN.

Learning to Achieve Different Levels of Adaptability for Human–Robot Collaboration Utilizing a Neuro-Dynamical System

Tetsuya Ogata, Shigeki Sugano, Hiroaki Arie, 2018, IEEE Transactions on Cognitive and Developmental Systems.

High-accuracy IMES localization using a movable receiver antenna and a three-axis attitude sensor

Shigeki Sugano, Yoshihiro Sakamoto, Kenjiro Fujii, 2011, 2011 International Conference on Indoor Positioning and Indoor Navigation.

Multimodal integration learning of robot behavior using deep neural networks

Yuki Suga, Tetsuya Ogata, Hiroaki Arie, 2014, Robotics Auton. Syst..

Predictive learning with uncertainty estimation for modeling infants' cognitive development with caregivers: A neurorobotics experiment

Shigeki Sugano, Tetsuya Ogata, Hiroaki Arie, 2015, 2015 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob).

Initial value analysis of a nonlinear least-square method for indoor Doppler positioning with a single pseudolite

Shigeki Sugano, Yoshihiro Sakamoto, Takuji Ebinuma, 2011, SICE Annual Conference 2011.

Constructivist approach to human-robot emotional communication - design of evolutionary function for WAMOEBA-3

Yuki Suga, Shigeki Sugano, Tetsuya Ogata, 2004, 4th IEEE/RAS International Conference on Humanoid Robots, 2004..

Reinforcement learning of a continuous motor sequence with hidden states

Shigeki Sugano, Tetsuya Ogata, Hiroaki Arie, 2007, Adv. Robotics.

Integrative Learning between Language and Action: A Neuro-Robotics Experiment

Minho Lee, Shigeki Sugano, Hiroaki Arie, 2010, ICANN.

Intersensory Causality Modeling Using Deep Neural Networks

Yuki Suga, Tetsuya Ogata, Hiroaki Arie, 2013, 2013 IEEE International Conference on Systems, Man, and Cybernetics.

Improving IMES Localization Accuracy by Integrating Dead Reckoning Information

Shigeki Sugano, Yoshihiro Sakamoto, Kenjiro Fujii, 2016, Sensors.

Learning to Reproduce Fluctuating Time Series by Inferring Their Time-Dependent Stochastic Properties: Application in Robot Learning Via Tutoring

Shigeki Sugano, Hiroaki Arie, Jun Tani, 2013, IEEE Transactions on Autonomous Mental Development.

Use of a Sparse Structure to Improve Learning Performance of Recurrent Neural Networks

Tetsuya Ogata, Hiroshi G. Okuno, Hiroaki Arie, 2011, ICONIP.

Goal-Oriented Behavior Generation for Visually-Guided Manipulation Task

Minho Lee, Hiroaki Arie, Jun Tani, 2011, ICONIP.

Reinforcement Learning Algorithm with CTRNN in Continuous Action Space

Shigeki Sugano, Tetsuya Ogata, Hiroaki Arie, 2006, ICONIP.

Development of Proactive and Reactive Behavior via Meta-learning of Prediction Error Variance

Shigeki Sugano, Hiroaki Arie, Jun Tani, 2013, ICONIP.

Recognition and Generation of Sentences through Self-organizing Linguistic Hierarchy Using MTRNN

Tetsuya Ogata, Hiroshi G. Okuno, Hiroaki Arie, 2010, IEA/AIE.

Development of Emotional Communication Robot, WAMOEBA-3(Power Assist and Nursing 1,Session: TA1-C)

Yuki Suga, Tetsuya Ogata, Shigeki Sugano, 2004 .

Methods for improving IMES transmitters: Transmission diversity, variable beamwidth antenna, and leaky coaxial cable

Shigeki Sugano, Yoshihiro Sakamoto, Kenjiro Fujii, 2015, 2015 IEEE/SICE International Symposium on System Integration (SII).

Neuro-robotics study on integrative learning of proactive visual attention and motor behaviors

Minho Lee, Hiroaki Arie, Jun Tani, 2012, Cognitive Neurodynamics.

2A1-E07 Reinforcement Learning with CTRNN in Continuous Space

Tetsuya Ogata, Shigeki Sugano, Hiroaki Arie, 2006 .

Imitating others by composition of primitive actions: A neuro-dynamic model

Shigeki Sugano, Hiroaki Arie, Jun Tani, 2012, Robotics Auton. Syst..

Self and Non-self Discrimination Mechanism Based on Predictive Learning with Estimation of Uncertainty

Tetsuya Ogata, Hiroaki Arie, Shingo Murata, 2016, ICONIP.

Doppler positioning with a movable receiver antenna and a single pseudolite for indoor localization

Shigeki Sugano, Yoshihiro Sakamoto, Kenjiro Fujii, 2011, 2011 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM).

Hyperbolic Positioning with Antenna Arrays and Multi-Channel Pseudolite for Indoor Localization

Shigeki Sugano, Yoshihiro Sakamoto, Kenjiro Fujii, 2015, Sensors.

Dynamical Integration of Language and Behavior in a Recurrent Neural Network for Human–Robot Interaction

Tetsuya Ogata, Hiroaki Arie, Tatsuro Yamada, 2016, Front. Neurorobot..

Four-Part Harmonization: Comparison of a Bayesian Network and a Recurrent Neural Network

Tetsuya Ogata, Hiroaki Arie, Tetsuro Kitahara, 2017, CMMR.

Emergence of interactive behaviors between two robots by prediction error minimization mechanism

Shigeki Sugano, Tetsuya Ogata, Hiroaki Arie, 2016, 2016 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob).

Learning to generate proactive and reactive behavior using a dynamic neural network model with time-varying variance prediction mechanism

Shigeki Sugano, Tetsuya Ogata, Hiroaki Arie, 2014, Adv. Robotics.

Synthetic Approach to Understanding Meta-level Cognition of Predictability in Generating Cooperative Behavior

Hiroaki Arie, Jun Tani, Jun Namikawa, 2013 .