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2020 – today
- 2024
[i35]Prasanna Vijayaraghavan, Jeffrey Frederic Queißer, Sergio Verduzco Flores, Jun Tani:
Development of Compositionality and Generalization through Interactive Learning of Language and Action of Robots. CoRR abs/2403.19995 (2024)- [i34]Theodore Jerome Tinker, Kenji Doya, Jun Tani:
Intrinsic Rewards for Exploration without Harm from Observational Noise: A Simulation Study Based on the Free Energy Principle. CoRR abs/2405.07473 (2024) - 2023
- [j78]Nadine Wirkuttis
, Wataru Ohata, Jun Tani:
Turn-Taking Mechanisms in Imitative Interaction: Robotic Social Interaction Based on the Free Energy Principle. Entropy 25(2): 263 (2023) - [j77]Takazumi Matsumoto, Wataru Ohata, Jun Tani:
Incremental Learning of Goal-Directed Actions in a Dynamic Environment by a Robot Using Active Inference. Entropy 25(11): 1506 (2023) - [i33]Hiroki Sawada, Wataru Ohata, Jun Tani:
Human-Robot Kinaesthetic Interaction Based on Free Energy Principle. CoRR abs/2303.15213 (2023) - [i32]Dongqi Han, Kenji Doya, Dongsheng Li, Jun Tani:
Habits and goals in synergy: a variational Bayesian framework for behavior. CoRR abs/2304.05008 (2023) - [i31]Rui Fukushima, Jun Tani:
Comparing Generalization in Learning with Limited Numbers of Exemplars: Transformer vs. RNN in Attractor Dynamics. CoRR abs/2311.10763 (2023) - 2022
- [j76]Jun Tani, Jeffrey Benjamin White:
Cognitive neurorobotics and self in the shared world, a focused review of ongoing research. Adapt. Behav. 30(1): 81-100 (2022) - [j75]Fabien C. Y. Benureau, Jun Tani:
Morphological Development at the Evolutionary Timescale: Robotic Developmental Evolution. Artif. Life 28(1): 3-21 (2022) - [j74]Takazumi Matsumoto, Wataru Ohata, Fabien C. Y. Benureau, Jun Tani:
Goal-Directed Planning and Goal Understanding by Extended Active Inference: Evaluation through Simulated and Physical Robot Experiments. Entropy 24(4): 469 (2022) - [j73]Vsevolod Nikulin, Jun Tani:
Initialization of latent space coordinates via random linear projections for learning robotic sensory-motor sequences. Frontiers Neurorobotics 16 (2022) - [c72]Fabien C. Y. Benureau, Jun Tani:
Morphological Wobbling Can Help Robots Learn. ICDL 2022: 257-264 - [i30]Takazumi Matsumoto, Wataru Ohata, Fabien C. Y. Benureau, Jun Tani:
Goal-directed Planning and Goal Understanding by Active Inference: Evaluation Through Simulated and Physical Robot Experiments. CoRR abs/2202.09976 (2022) - [i29]Vsevolod Nikulin, Jun Tani:
Initialization of Latent Space Coordinates via Random Linear Projections for Learning Robotic Sensory-Motor Sequences. CoRR abs/2202.13057 (2022) - [i28]Fabien C. Y. Benureau, Jun Tani:
Morphological Wobbling Can Help Robots Learn. CoRR abs/2205.02811 (2022) - 2021
- [j72]Jeffrey Frederic Queißer, Minju Jung, Takazumi Matsumoto, Jun Tani:
Emergence of Content-Agnostic Information Processing by a Robot Using Active Inference, Visual Attention, Working Memory, and Planning. Neural Comput. 33(9): 2353-2407 (2021) - [j71]Nadine Wirkuttis, Jun Tani:
Leading or Following? Dyadic Robot Imitative Interaction Using the Active Inference Framework. IEEE Robotics Autom. Lett. 6(3): 6024-6031 (2021) - [i27]Siqing Hou, Dongqi Han, Jun Tani:
Learning Memory-Dependent Continuous Control from Demonstrations. CoRR abs/2102.09208 (2021) - [i26]Nadine Wirkuttis, Jun Tani:
Controlling the Sense of Agency in Dyadic Robot Interaction: An Active Inference Approach. CoRR abs/2103.02137 (2021) - [i25]Dongqi Han, Kenji Doya, Jun Tani:
Goal-Directed Planning by Reinforcement Learning and Active Inference. CoRR abs/2106.09938 (2021) - [i24]Hayato Idei, Wataru Ohata, Yuichi Yamashita, Tetsuya Ogata, Jun Tani:
Sensory attenuation develops as a result of sensorimotor experience. CoRR abs/2111.02666 (2021) - [i23]Pablo Lanillos, Cristian Meo, Corrado Pezzato, Ajith Anil Meera, Mohamed Baioumy, Wataru Ohata, Alexander Tschantz, Beren Millidge, Martijn Wisse, Christopher L. Buckley, Jun Tani:
Active Inference in Robotics and Artificial Agents: Survey and Challenges. CoRR abs/2112.01871 (2021) - 2020
- [j70]Takazumi Matsumoto, Jun Tani:
Goal-Directed Planning for Habituated Agents by Active Inference Using a Variational Recurrent Neural Network. Entropy 22(5): 564 (2020) - [j69]Wataru Ohata, Jun Tani:
Investigation of the Sense of Agency in Social Cognition, Based on Frameworks of Predictive Coding and Active Inference: A Simulation Study on Multimodal Imitative Interaction. Frontiers Neurorobotics 14: 61 (2020) - [j68]Dongqi Han, Kenji Doya, Jun Tani:
Self-organization of action hierarchy and compositionality by reinforcement learning with recurrent neural networks. Neural Networks 129: 149-162 (2020) - [j67]Jungsik Hwang, Jinhyung Kim, Ahmadreza Ahmadi, Minkyu Choi, Jun Tani:
Dealing With Large-Scale Spatio-Temporal Patterns in Imitative Interaction Between a Robot and a Human by Using the Predictive Coding Framework. IEEE Trans. Syst. Man Cybern. Syst. 50(5): 1918-1931 (2020) - [c71]Dongqi Han, Kenji Doya, Jun Tani:
Variational Recurrent Models for Solving Partially Observable Control Tasks. ICLR 2020 - [c70]Hendry Ferreira Chame, Jun Tani:
Cognitive and motor compliance in intentional human-robot interaction. ICRA 2020: 11291-11297 - [c69]Vsevolod Nikulin, Jun Tani:
Efficient decomposition of latent representation in generative models. SSCI 2020: 611-615 - [i22]Wataru Ohata, Jun Tani:
Investigation of Multimodal and Agential Interactions in Human-Robot Imitation, based on frameworks of Predictive Coding and Active Inference. CoRR abs/2002.01632 (2020) - [i21]Takazumi Matsumoto, Jun Tani:
Goal-Directed Planning for Habituated Agents by Active Inference Using a Variational Recurrent Neural Network. CoRR abs/2005.14656 (2020) - [i20]Hendry Ferreira Chame, Ahmadreza Ahmadi, Jun Tani:
Towards hybrid primary intersubjectivity: a neural robotics library for human science. CoRR abs/2006.15948 (2020) - [i19]Fabien C. Y. Benureau, Jun Tani:
Morphological Development at the Evolutionary Timescale: Robotic Developmental Evolution. CoRR abs/2010.14894 (2020)
2010 – 2019
- 2019
- [j66]Junpei Zhong, Martin Peniak, Jun Tani, Tetsuya Ogata, Angelo Cangelosi:
Sensorimotor input as a language generalisation tool: a neurorobotics model for generation and generalisation of noun-verb combinations with sensorimotor inputs. Auton. Robots 43(5): 1271-1290 (2019) - [j65]Ahmadreza Ahmadi, Jun Tani:
A Novel Predictive-Coding-Inspired Variational RNN Model for Online Prediction and Recognition. Neural Comput. 31(11): 2025-2074 (2019) - [c68]Jun Tani:
Accounting for the Minimal Self and the Narrative Self: Robotics Experiments Using Predictive Coding. AAAI Spring Symposium: Towards Conscious AI Systems 2019 - [c67]Jun Tani:
Accounting Social Cognitive Mechanisms by the Framework of Predictive Coding and Active Inference: A Synthetic Experimental Study using Robotics Interaction Platforms. HAI 2019: 2 - [c66]Jungsik Hwang, Nadine Wirkuttis, Jun Tani:
A Neurorobotics Approach to Investigating the Emergence of Communication in Robots. HRI 2019: 622-623 - [c65]Minju Jung, Takazumi Matsumoto, Jun Tani:
Goal-Directed Behavior under Variational Predictive Coding: Dynamic organization of Visual Attention and Working Memory. IROS 2019: 1040-1047 - [i18]Dongqi Han, Kenji Doya, Jun Tani:
Emergence of Hierarchy via Reinforcement Learning Using a Multiple Timescale Stochastic RNN. CoRR abs/1901.10113 (2019) - [i17]Minju Jung, Takazumi Matsumoto, Jun Tani:
Goal-Directed Behavior under Variational Predictive Coding: Dynamic Organization of Visual Attention and Working Memory. CoRR abs/1903.04932 (2019) - [i16]Jungsik Hwang, Nadine Wirkuttis, Jun Tani:
A Neurorobotics Approach to Investigating the Emergence of Communication in Robots. CoRR abs/1904.02858 (2019) - [i15]Hendry Ferreira Chame, Jun Tani:
Cognitive and motor compliance in intentional human-robot interaction. CoRR abs/1911.01753 (2019) - [i14]Dongqi Han, Kenji Doya, Jun Tani:
Variational Recurrent Models for Solving Partially Observable Control Tasks. CoRR abs/1912.10703 (2019) - 2018
- [j64]German Ignacio Parisi, Jun Tani, Cornelius Weber, Stefan Wermter:
Lifelong Learning of Spatiotemporal Representations With Dual-Memory Recurrent Self-Organization. Frontiers Neurorobotics 12: 78 (2018) - [j63]Christopher Tatsch, Ahmadreza Ahmadi, Fabrício Bottega, Jun Tani, Rodrigo da Silva Guerra:
Dimitri: an Open-Source Humanoid Robot with Compliant Joint. J. Intell. Robotic Syst. 91(2): 291-300 (2018) - [j62]Minkyu Choi, Jun Tani:
Predictive Coding for Dynamic Visual Processing: Development of Functional Hierarchy in a Multiple Spatiotemporal Scales RNN Model. Neural Comput. 30(1) (2018) - [j61]Minju Jung, Haanvid Lee, Jun Tani:
Adaptive detrending to accelerate convolutional gated recurrent unit training for contextual video recognition. Neural Networks 105: 356-370 (2018) - [j60]Jungsik Hwang, Jun Tani:
Seamless Integration and Coordination of Cognitive Skills in Humanoid Robots: A Deep Learning Approach. IEEE Trans. Cogn. Dev. Syst. 10(2): 345-358 (2018) - [j59]Haanvid Lee, Minju Jung, Jun Tani:
Recognition of Visually Perceived Compositional Human Actions by Multiple Spatio-Temporal Scales Recurrent Neural Networks. IEEE Trans. Cogn. Dev. Syst. 10(4): 1058-1069 (2018) - [c64]Jungsik Hwang, Jun Tani:
A Dynamic Neural Network Approach to Generating Robot's Novel Actions: A Simulation Experiment. UR 2018: 355-361 - [i13]Minkyu Choi, Takazumi Matsumoto, Minju Jung, Jun Tani:
Generating goal-directed visuomotor plans based on learning using a predictive coding type deep visuomotor recurrent neural network model. CoRR abs/1803.02578 (2018) - [i12]Jungsik Hwang, Jun Tani:
A Dynamic Neural Network Approach to Generating Robot's Novel Actions: A Simulation Experiment. CoRR abs/1805.05537 (2018) - [i11]German Ignacio Parisi, Jun Tani, Cornelius Weber, Stefan Wermter:
Lifelong Learning of Spatiotemporal Representations with Dual-Memory Recurrent Self-Organization. CoRR abs/1805.10966 (2018) - [i10]Ahmadreza Ahmadi, Jun Tani:
Learning to Embed Probabilistic Structures Between Deterministic Chaos and Random Process in a Variational Bayes Predictive-Coding RNN. CoRR abs/1811.01339 (2018) - 2017
- [j58]German Ignacio Parisi, Jun Tani, Cornelius Weber, Stefan Wermter:
Emergence of multimodal action representations from neural network self-organization. Cogn. Syst. Res. 43: 208-221 (2017) - [j57]Ahmadreza Ahmadi, Jun Tani:
How can a recurrent neurodynamic predictive coding model cope with fluctuation in temporal patterns? Robotic experiments on imitative interaction. Neural Networks 92: 3-16 (2017) - [j56]German Ignacio Parisi, Jun Tani, Cornelius Weber, Stefan Wermter:
Lifelong learning of human actions with deep neural network self-organization. Neural Networks 96: 137-149 (2017) - [j55]Shingo Murata, Yuichi Yamashita, Hiroaki Arie, Tetsuya Ogata, Shigeki Sugano, Jun Tani:
Learning to Perceive the World as Probabilistic or Deterministic via Interaction With Others: A Neuro-Robotics Experiment. IEEE Trans. Neural Networks Learn. Syst. 28(4): 830-848 (2017) - [c63]Jungsik Hwang, Jinhyung Kim, Ahmadreza Ahmadi, Minkyu Choi, Jun Tani:
Predictive coding-based deep dynamic neural network for visuomotor learning. ICDL-EPIROB 2017: 132-139 - [c62]Hayato Idei, Shingo Murata, Yiwen Chen, Yuichi Yamashita, Jun Tani, Tetsuya Ogata:
Reduced behavioral flexibility by aberrant sensory precision in autism spectrum disorder: A neurorobotics experiment. ICDL-EPIROB 2017: 271-276 - [c61]Ahmadreza Ahmadi, Jun Tani:
Bridging the Gap Between Probabilistic and Deterministic Models: A Simulation Study on a Variational Bayes Predictive Coding Recurrent Neural Network Model. ICONIP (3) 2017: 760-769 - [c60]Minkyu Choi, Jun Tani:
Predictive coding for dynamic vision: Development of functional hierarchy in a multiple spatio-temporal scales RNN model. IJCNN 2017: 657-664 - [i9]Minju Jung, Haanvid Lee, Jun Tani:
Adaptive Detrending to Accelerate Convolutional Gated Recurrent Unit Training for Contextual Video Recognition. CoRR abs/1705.08764 (2017) - [i8]Jungsik Hwang, Jun Tani:
Seamless Integration and Coordination of Cognitive Skills in Humanoid Robots: A Deep Learning Approach. CoRR abs/1706.02423 (2017) - [i7]Jungsik Hwang, Jinhyung Kim, Ahmadreza Ahmadi, Minkyu Choi, Jun Tani:
Predictive Coding-based Deep Dynamic Neural Network for Visuomotor Learning. CoRR abs/1706.02444 (2017) - [i6]Ahmadreza Ahmadi, Jun Tani:
Bridging the Gap between Probabilistic and Deterministic Models: A Simulation Study on a Variational Bayes Predictive Coding Recurrent Neural Network Model. CoRR abs/1706.10240 (2017) - [i5]Minkyu Choi, Jun Tani:
Predictive Coding for Dynamic Visual Processing: Development of Functional Hierarchy in a Multiple Spatio-Temporal Scales RNN Model. CoRR abs/1708.00812 (2017) - 2016
- [c59]Jungsik Hwang, Minju Jung, Jinhyung Kim, Jun Tani:
A deep learning approach for seamless integration of cognitive skills for humanoid robots. ICDL-EPIROB 2016: 59-65 - [c58]Yiwen Chen, Shingo Murata, Hiroaki Arie, Tetsuya Ogata, Jun Tani, Shigeki Sugano:
Emergence of interactive behaviors between two robots by prediction error minimization mechanism. ICDL-EPIROB 2016: 302-307 - [c57]Ahmadreza Ahmadi, Jun Tani:
Towards Robustness to Fluctuated Perceptual Patterns by a Deterministic Predictive Coding Model in a Task of Imitative Synchronization with Human Movement Patterns. ICONIP (1) 2016: 393-402 - [c56]Ahmadreza Ahmadi, Christopher Tatsch, Fabricio Julian Carini Montenegro, Jun Tani, Rodrigo da Silva Guerra:
Dimitri: A Low-Cost Compliant Humanoid Torso Designed for Cognitive Robotics Research. LARS/SBR 2016: 67-72 - [i4]Haanvid Lee, Minju Jung, Jun Tani:
Characteristics of Visual Categorization of Long-Concatenated and Object-Directed Human Actions by a Multiple Spatio-Temporal Scales Recurrent Neural Network Model. CoRR abs/1602.01921 (2016) - [i3]Junpei Zhong, Martin Peniak, Jun Tani, Tetsuya Ogata, Angelo Cangelosi:
Sensorimotor Input as a Language Generalisation Tool: A Neurorobotics Model for Generation and Generalisation of Noun-Verb Combinations with Sensorimotor Inputs. CoRR abs/1605.03261 (2016) - [i2]Minkyu Choi, Jun Tani:
Predictive Coding for Dynamic Vision : Development of Functional Hierarchy in a Multiple Spatio-Temporal Scales RNN Model. CoRR abs/1606.01672 (2016) - 2015
- [j54]Gibeom Park, Jun Tani:
Development of compositional and contextual communicable congruence in robots by using dynamic neural network models. Neural Networks 72: 109-122 (2015) - [c55]Jungsik Hwang, Minju Jung, Naveen Madapana, Jinhyung Kim, Minkyu Choi, Jun Tani:
Achieving "synergy" in cognitive behavior of humanoids via deep learning of dynamic visuo-motor-attentional coordination. Humanoids 2015: 817-824 - [c54]Gibeom Park, Jun Tani:
Development of compositional and contextual communication of robots by using the multiple timescales dynamic neural network. ICDL-EPIROB 2015: 176-181 - [i1]Jungsik Hwang, Minju Jung, Naveen Madapana, Jinhyung Kim, Minkyu Choi, Jun Tani:
Achieving Synergy in Cognitive Behavior of Humanoids via Deep Learning of Dynamic Visuo-Motor-Attentional Coordination. CoRR abs/1507.02347 (2015) - 2014
- [j53]Shingo Murata, Hiroaki Arie, Tetsuya Ogata, Shigeki Sugano, Jun Tani:
Learning to generate proactive and reactive behavior using a dynamic neural network model with time-varying variance prediction mechanism. Adv. Robotics 28(17): 1189-1203 (2014) - [j52]Sungmoon Jeong, Yunjung Park, Rammohan Mallipeddi, Jun Tani, Minho Lee:
Goal-oriented behavior sequence generation based on semantic commands using multiple timescales recurrent neural network with initial state correction. Neurocomputing 129: 67-77 (2014) - [j51]Jun Tani:
Self-Organization and Compositionality in Cognitive Brains: A Neurorobotics Study. Proc. IEEE 102(3): 586-605 (2014) - [j50]Jun Tani, Karl J. Friston, Simon Haykin:
Self-Organization and Compositionality in Cognitive Brains [Further Thoughts]. Proc. IEEE 102(3): 606-607 (2014) - [c53]Shingo Murata, Hiroaki Arie, Tetsuya Ogata, Jun Tani, Shigeki Sugano:
Learning and Recognition of Multiple Fluctuating Temporal Patterns Using S-CTRNN. ICANN 2014: 9-16 - [c52]Minju Jung, Jungsik Hwang, Jun Tani:
Multiple spatio-temporal scales neural network for contextual visual recognition of human actions. ICDL-EPIROB 2014: 235-241 - [c51]Shingo Murata, Yuichi Yamashita, Hiroaki Arie, Tetsuya Ogata, Jun Tani, Shigeki Sugano:
Generation of sensory reflex behavior versus intentional proactive behavior in robot learning of cooperative interactions with others. ICDL-EPIROB 2014: 242-248 - [c50]Boon Hwa Tan, Huajin Tang, Rui Yan, Jun Tani:
Flexible and robust robotic arm design and skill learning by using recurrent neural networks. IROS 2014: 522-529 - 2013
- [j49]Fady Alnajjar, Yuichi Yamashita, Jun Tani:
The hierarchical and functional connectivity of higher-order cognitive mechanisms: neurorobotic model to investigate the stability and flexibility of working memory. Frontiers Neurorobotics 7: 2 (2013) - [j48]Shingo Murata, Jun Namikawa, Hiroaki Arie, Shigeki Sugano, Jun Tani:
Learning to Reproduce Fluctuating Time Series by Inferring Their Time-Dependent Stochastic Properties: Application in Robot Learning Via Tutoring. IEEE Trans. Auton. Ment. Dev. 5(4): 298-310 (2013) - [c49]Shingo Murata, Jun Namikawa, Hiroaki Arie, Jun Tani, Shigeki Sugano:
Learning to reproduce fluctuating behavioral sequences using a dynamic neural network model with time-varying variance estimation mechanism. ICDL-EPIROB 2013: 1-6 - [c48]Shingo Murata, Jun Namikawa, Hiroaki Arie, Jun Tani, Shigeki Sugano:
Development of Proactive and Reactive Behavior via Meta-learning of Prediction Error Variance. ICONIP (1) 2013: 537-544 - [p1]Yuichi Yamashita, Jun Tani:
Self-Organized Functional Hierarchy Through Multiple Timescales: Neuro-dynamical Accounts for Behavioral Compositionality. Computational and Robotic Models of the Hierarchical Organization of Behavior 2013: 47-62 - 2012
- [j47]Michail Maniadakis, Panos E. Trahanias, Jun Tani:
Self-organizing high-order cognitive functions in artificial agents: Implications for possible prefrontal cortex mechanisms. Neural Networks 33: 76-87 (2012) - [j46]Hiroaki Arie, Takafumi Arakaki, Shigeki Sugano, Jun Tani:
Imitating others by composition of primitive actions: A neuro-dynamic model. Robotics Auton. Syst. 60(5): 729-741 (2012) - [j45]Shun Nishide, Jun Tani, Toru Takahashi, Hiroshi G. Okuno, Tetsuya Ogata:
Tool-Body Assimilation of Humanoid Robot Using a Neurodynamical System. IEEE Trans. Auton. Ment. Dev. 4(2): 139-149 (2012) - [c47]Fady Alnajjar, Yuichi Yamashita, Jun Tani:
Static and dynamic memory to simulate higher-order cognitive tasks. IJCNN 2012: 1-6 - [c46]Misako Komatsu, Jun Namikawa, Jun Tani, Zenas C. Chao, Yasuo Nagasaka, Naotaka Fujii, Kiyohiko Nakamura:
Estimation of functional brain connectivity from electrocorticograms using an artificial network model. IJCNN 2012: 1-8 - [c45]Shun Nishide, Jun Tani, Hiroshi G. Okuno, Tetsuya Ogata:
Self-organization of object features representing motion using Multiple Timescales Recurrent Neural Network. IJCNN 2012: 1-8 - 2011
- [j44]Yuuya Sugita, Jun Tani, Martin V. Butz:
Simultaneously emerging Braitenberg codes and compositionality. Adapt. Behav. 19(5): 295-316 (2011) - [j43]Shun Nishide, Jun Tani, Hiroshi G. Okuno, Tetsuya Ogata:
Towards Written Text Recognition Based on Handwriting Experiences Using a Recurrent Neural Network. Adv. Robotics 25(17): 2173-2187 (2011) - [j42]Yuichi Yamashita, Tetsu Okumura, Kazuo Okanoya, Jun Tani:
Cooperation of Deterministic Dynamics and Random Noise in Production of Complex Syntactical Avian Song Sequences: A Neural Network Model. Frontiers Comput. Neurosci. 5: 18 (2011) - [j41]Wataru Hinoshita, Hiroaki Arie, Jun Tani, Hiroshi G. Okuno, Tetsuya Ogata:
Emergence of hierarchical structure mirroring linguistic composition in a recurrent neural network. Neural Networks 24(4): 311-320 (2011) - [j40]Jun Namikawa, Ryunosuke Nishimoto, Jun Tani:
A Neurodynamic Account of Spontaneous Behaviour. PLoS Comput. Biol. 7(10) (2011) - [j39]Katharina J. Rohlfing, Jun Tani:
Grounding Language in Action. IEEE Trans. Auton. Ment. Dev. 3(2): 109-112 (2011) - [c44]Michail Maniadakis, Jun Tani, Panos E. Trahanias:
Ego-centric and allo-centric abstraction in self-organized hierarchical neural networks. ICDL-EPIROB 2011: 1-6 - [c43]Hiromitsu Awano, Shun Nishide, Hiroaki Arie, Jun Tani, Toru Takahashi, Hiroshi G. Okuno, Tetsuya Ogata:
Use of a Sparse Structure to Improve Learning Performance of Recurrent Neural Networks. ICONIP (3) 2011: 323-331 - [c42]Sungmoon Jeong, Yunjung Park, Hiroaki Arie, Jun Tani, Minho Lee:
Goal-Oriented Behavior Generation for Visually-Guided Manipulation Task. ICONIP (1) 2011: 501-508 - [c41]Shun Nishide, Hiroshi G. Okuno, Tetsuya Ogata, Jun Tani:
Handwriting prediction based character recognition using recurrent neural network. SMC 2011: 2549-2554 - 2010
- [j38]Jun Namikawa, Jun Tani:
Learning to imitate stochastic time series in a compositional way by chaos. Neural Networks 23(5): 625-638 (2010) - [j37]Angelo Cangelosi, Giorgio Metta, Gerhard Sagerer, Stefano Nolfi, Chrystopher L. Nehaniv, Kerstin Fischer, Jun Tani, Tony Belpaeme, Giulio Sandini, Francesco Nori, Luciano Fadiga, Britta Wrede, Katharina J. Rohlfing, Elio Tuci, Kerstin Dautenhahn, Joe Saunders, Arne Zeschel:
Integration of Action and Language Knowledge: A Roadmap for Developmental Robotics. IEEE Trans. Auton. Ment. Dev. 2(3): 167-195 (2010) - [c40]Hiroaki Arie, Tetsuro Endo, Sungmoon Jeong, Minho Lee, Shigeki Sugano, Jun Tani:
Integrative Learning between Language and Action: A Neuro-Robotics Experiment. ICANN (2) 2010: 256-265 - [c39]Sungmoon Jeong, Minho Lee, Hiroaki Arie, Jun Tani:
Developmental learning of integrating visual attention shifts and bimanual object grasping and manipulation tasks. ICDL 2010: 165-170 - [c38]Wataru Hinoshita, Hiroaki Arie, Jun Tani, Tetsuya Ogata, Hiroshi G. Okuno:
Recognition and Generation of Sentences through Self-organizing Linguistic Hierarchy Using MTRNN. IEA/AIE (3) 2010: 42-51 - [c37]Michail Maniadakis, Panos E. Trahanias, Jun Tani:
Self-organized executive control functions. IJCNN 2010: 1-8 - [c36]Shun Nishide, Tetsuya Ogata, Jun Tani, Toru Takahashi, Kazunori Komatani, Hiroshi G. Okuno:
Motion generation based on reliable predictability using self-organized object features. IROS 2010: 3453-3458
2000 – 2009
- 2009
- [j36]Jun Namikawa, Jun Tani:
Building Recurrent Neural Networks to Implement Multiple Attractor Dynamics Using the Gradient Descent Method. Adv. Artif. Neural Syst. 2009: 846040:1-846040:11 (2009) - [j35]Michail Maniadakis, Jun Tani:
Acquiring Rules for Rules: Neuro-Dynamical Systems Account for Meta-Cognition. Adapt. Behav. 17(1): 58-80 (2009) - [j34]Jun Tani:
Autonomy of Self at Criticality: The Perspective from Synthetic Neuro-Robotics. Adapt. Behav. 17(5): 421-443 (2009) - [j33]Shun Nishide, Tetsuya Ogata, Jun Tani, Kazunori Komatani, Hiroshi G. Okuno:
Self-organization of Dynamic Object Features Based on Bidirectional Training. Adv. Robotics 23(15): 2035-2057 (2009) - [j32]Ichiro Igari, Jun Tani:
Incremental learning of sequence patterns with a modular network model. Neurocomputing 72(7-9): 1910-1919 (2009) - [j31]Shun Nishide, Tetsuya Ogata, Jun Tani, Kazunori Komatani, Hiroshi G. Okuno:
Autonomous Motion Generation Based on Reliable Predictability. J. Robotics Mechatronics 21(4): 478-488 (2009) - [j30]Michail Maniadakis, Panos E. Trahanias, Jun Tani:
Explorations on artificial time perception. Neural Networks 22(5-6): 509-517 (2009) - [c35]Tetsuya Ogata, Ryunosuke Yokoya, Jun Tani, Kazunori Komatani, Hiroshi G. Okuno:
Prediction and imitation of other's motions by reusing own forward-inverse model in robots. ICRA 2009: 4144-4149 - [c34]Michail Maniadakis, Jun Tani, Panos E. Trahanias:
Time perception in shaping cognitive neurodynamics of artificial agents. IJCNN 2009: 1993-2000 - [c33]Leszek Rybicki, Yuuya Sugita, Jun Tani:
Reinforcement learning of multiple tasks using parametric bias. IJCNN 2009: 2732-2739 - [c32]Shun Nishide, Tatsuhiro Nakagawa, Tetsuya Ogata, Jun Tani, Toru Takahashi, Hiroshi G. Okuno:
Modeling tool-body assimilation using second-order Recurrent Neural Network. IROS 2009: 5376-5381 - 2008
- [j29]Stefano Nolfi, Takashi Ikegami, Jun Tani:
Editorial: Behavior and Mind as a Complex Adaptive System. Adapt. Behav. 16(2-3): 101-103 (2008) - [j28]Ryunosuke Nishimoto, Jun Namikawa, Jun Tani:
Learning Multiple Goal-Directed Actions Through Self-Organization of a Dynamic Neural Network Model: A Humanoid Robot Experiment. Adapt. Behav. 16(2-3): 166-181 (2008) - [j27]Shun Nishide, Tetsuya Ogata, Jun Tani, Kazunori Komatani, Hiroshi G. Okuno:
Predicting Object Dynamics From Visual Images Through Active Sensing Experiences. Adv. Robotics 22(5): 527-546 (2008) - [j26]Jun Tani, Ryunosuke Nishimoto, Rainer W. Paine:
Achieving "organic compositionality" through self-organization: Reviews on brain-inspired robotics experiments. Neural Networks 21(4): 584-603 (2008) - [j25]Yuichi Yamashita, Miki Takahasi, Tetsu Okumura, Maki Ikebuchi, Hiroko Yamada, Madoka Suzuki, Kazuo Okanoya, Jun Tani:
Developmental learning of complex syntactical song in the Bengalese finch: A neural network model. Neural Networks 21(9): 1224-1231 (2008) - [j24]Jun Namikawa, Jun Tani:
A model for learning to segment temporal sequences, utilizing a mixture of RNN experts together with adaptive variance. Neural Networks 21(10): 1466-1475 (2008) - [j23]Yuichi Yamashita, Jun Tani:
Emergence of Functional Hierarchy in a Multiple Timescale Neural Network Model: A Humanoid Robot Experiment. PLoS Comput. Biol. 4(11) (2008) - [j22]Jun Tani, Ryunosuke Nishimoto, Jun Namikawa, Masato Ito:
Codevelopmental Learning Between Human and Humanoid Robot Using a Dynamic Neural-Network Model. IEEE Trans. Syst. Man Cybern. Part B 38(1): 43-59 (2008) - [c31]Vadim Tikhanoff, Angelo Cangelosi, Jun Tani, Giorgio Metta:
Towards language acquisition in autonomous robots. ALIFE 2008: 808 - [c30]Shun Nishide, Tetsuya Ogata, Ryunosuke Yokoya, Jun Tani, Kazunori Komatani, Hiroshi G. Okuno:
Object dynamics prediction and motion generation based on reliable predictability. ICRA 2008: 1608-1614 - [c29]Shun Nishide, Tetsuya Ogata, Ryunosuke Yokoya, Jun Tani, Kazunori Komatani, Hiroshi G. Okuno:
Active sensing based dynamical object feature extraction. IROS 2008: 1-7 - [c28]Michail Maniadakis, Jun Tani:
Dynamical Systems Account for Meta-level Cognition. SAB 2008: 311-320 - [c27]Yuuya Sugita, Jun Tani:
Acquiring a Functionally Compositional System of Goal-Directed Actions of a Simulated Agent. SAB 2008: 331-341 - [e1]Minoru Asada, John C. T. Hallam, Jean-Arcady Meyer, Jun Tani:
From Animals to Animats 10, 10th International Conference on Simulation of Adaptive Behavior, SAB 2008, Osaka, Japan, July 7-12, 2008. Proceedings. Lecture Notes in Computer Science 5040, Springer 2008, ISBN 978-3-540-69133-4 [contents] - 2007
- [j21]Hiroaki Arie, Tetsuya Ogata, Jun Tani, Shigeki Sugano:
Reinforcement learning of a continuous motor sequence with hidden states. Adv. Robotics 21(10): 1215-1229 (2007) - [j20]Ryunosuke Yokoya, Tetsuya Ogata, Jun Tani, Kazunori Komatani, Hiroshi G. Okuno:
Experience-based imitation using RNNPB. Adv. Robotics 21(12): 1351-1367 (2007) - [c26]Tetsuya Ogata, Shohei Matsumoto, Jun Tani, Kazunori Komatani, Hiroshi G. Okuno:
Human-Robot Cooperation using Quasi-symbols Generated by RNNPB Model. ICRA 2007: 2156-2161 - [c25]Shun Nishide, Tetsuya Ogata, Jun Tani, Kazunori Komatani, Hiroshi G. Okuno:
Predicting Object Dynamics from Visual Images through Active Sensing Experiences. ICRA 2007: 2501-2506 - [c24]Ryunosuke Yokoya, Tetsuya Ogata, Jun Tani, Kazunori Komatani, Hiroshi G. Okuno:
Discovery of other individuals by projecting a self-model through imitation. IROS 2007: 1009-1014 - [c23]Tetsuya Ogata, Masamitsu Murase, Jun Tani, Kazunori Komatani, Hiroshi G. Okuno:
Two-way translation of compound sentences and arm motions by recurrent neural networks. IROS 2007: 1858-1863 - 2006
- [j19]Tetsuya Ogata, Shigeki Sugano, Jun Tani:
Acquisition of Motion Primitives of Robot in Human-Navigation Task. Inf. Media Technol. 1(1): 305-313 (2006) - [j18]Masato Ito, Kuniaki Noda, Yukiko Hoshino, Jun Tani:
Dynamic and interactive generation of object handling behaviors by a small humanoid robot using a dynamic neural network model. Neural Networks 19(3): 323-337 (2006) - [c22]Hiroaki Arie, Jun Namikawa, Tetsuya Ogata, Jun Tani, Shigeki Sugano:
Reinforcement Learning Algorithm with CTRNN in Continuous Action Space. ICONIP (1) 2006: 387-396 - [c21]Ryunosuke Yokoya, Tetsuya Ogata, Jun Tani, Kazunori Komatani, Hiroshi G. Okuno:
Experience Based Imitation Using RNNPB. IROS 2006: 3669-3674 - [c20]Kuniaki Noda, Masato Ito, Yukiko Hoshino, Jun Tani:
Dynamic Generation and Switching of Object Handling Behaviors by a Humanoid Robot Using a Recurrent Neural Network Model. SAB 2006: 185-196 - 2005
- [j17]Yuuya Sugita, Jun Tani:
Learning Semantic Combinatoriality from the Interaction between Linguistic and Behavioral Processes. Adapt. Behav. 13(1): 33-52 (2005) - [j16]Rainer W. Paine, Jun Tani:
How Hierarchical Control Self-organizes in Artificial Adaptive Systems. Adapt. Behav. 13(3): 211-225 (2005) - [j15]Tetsuya Ogata, Shigeki Sugano, Jun Tani:
Open-end human-robot interaction from the dynamical systems perspective: mutual adaptation and incremental learning. Adv. Robotics 19(6): 651-670 (2005) - [j14]Tetsuya Ogata, Hayato Ohba, Jun Tani, Kazunori Komatani, Hiroshi G. Okuno:
Extracting Multimodal Dynamics of Objects Using RNNPB. J. Robotics Mechatronics 17(6): 681-688 (2005) - [c19]Tetsuya Ogata, Hayato Ohba, Jun Tani, Kazunori Komatani, Hiroshi G. Okuno:
Extracting multi-modal dynamics of objects using RNNPB. IROS 2005: 966-971 - 2004
- [j13]Masato Ito, Jun Tani:
On-line Imitative Interaction with a Humanoid Robot Using a Dynamic Neural Network Model of a Mirror System. Adapt. Behav. 12(2): 93-115 (2004) - [j12]Ryunosuke Nishimoto, Jun Tani:
Learning to generate combinatorial action sequences utilizing the initial sensitivity of deterministic dynamical systems. Neural Networks 17(7): 925-933 (2004) - [j11]Jun Tani, Masato Ito, Yuuya Sugita:
Self-organization of distributedly represented multiple behavior schemata in a mirror system: reviews of robot experiments using RNNPB. Neural Networks 17(8-9): 1273-1289 (2004) - [j10]Rainer W. Paine, Jun Tani:
Motor primitive and sequence self-organization in a hierarchical recurrent neural network. Neural Networks 17(8-9): 1291-1309 (2004) - [c18]Rainer W. Paine, Jun Tani:
Evolved Motor Primitives and Sequences in a Hierarchical Recurrent Neural Network. GECCO (1) 2004: 603-614 - [c17]Masato Ito, Jun Tani:
Generalization in Learning Multiple Temporal Patterns Using RNNPB. ICONIP 2004: 592-598 - [c16]Masato Ito, Jun Tani:
On-line Imitative Interaction with a Humanoid Robot Using a Mirror Neuron Model. ICRA 2004: 1071-1076 - [c15]Tetsuya Ogata, Shigeki Sugano, Jun Tani:
Open-End Human Robot Interaction from the Dynamical Systems Perspective: Mutual Adaptation and Incremental Learning. IEA/AIE 2004: 435-444 - [c14]Tetsuya Ogata, Masaki Matsunaga, Shigeki Sugano, Jun Tani:
Human-robot collaboration using behavioral primitives. IROS 2004: 1592-1597 - 2003
- [j9]Jun Tani:
Learning to generate articulated behavior through the bottom-up and the top-down interaction processes. Neural Networks 16(1): 11-23 (2003) - [j8]Jun Tani, Masato Ito:
Self-organization of behavioral primitives as multiple attractor dynamics: A robot experiment. IEEE Trans. Syst. Man Cybern. Part A 33(4): 481-488 (2003) - [c13]Jun Tani:
Symbols and Dynamics in Embodied Cognition: Revisiting a Robot Experiment. ABiALS 2003: 167-178 - [c12]Tetsuya Ogata, Noritaka Masago, Shigeki Sugano, Jun Tani:
Interactive learning in human-robot collaboration. IROS 2003: 162-167 - [c11]Ryunosuke Nishimoto, Jun Tani:
Learning to Generate Combinatorial Action Sequences Utilizing the Initial Sensitivity of Deterministic Dynamical Systems. IWANN (1) 2003: 422-429 - [c10]Yuuya Sugita, Jun Tani:
A Holistic Approach to Compositional Semantics: A Connectionist Model and Robot Experiments. NIPS 2003: 969-976 - 2002
- [j7]Jun Tani, Jun Yamamoto:
On the dynamics of robot exploration learning. Cogn. Syst. Res. 3(3): 459-470 (2002)
1990 – 1999
- 1999
- [j6]Stefano Nolfi, Jun Tani:
Extracting Regularities in Space and Time Through a Cascade of Prediction Networks: The Case of a Mobile Robot Navigating in a Structured Environment. Connect. Sci. 11(2): 125-148 (1999) - [j5]Jun Tani, Stefano Nolfi:
Learning to perceive the world as articulated: an approach for hierarchical learning in sensory-motor systems. Neural Networks 12(7-8): 1131-1141 (1999) - [c9]Jun Tani, Yuuya Sugita:
On the Dynamics of Robot Exploration Learning. ECAL 1999: 279-288 - 1998
- [c8]Koji Horikawa, Hideki Asoh, Jun Tani, Toshihiro Matsui, Masayoshi Kakikura:
Emergence of Expert Modules for Mobile Robot Navigation from a Mixture of Elman Networks. ICONIP 1998: 256-259 - 1997
- [j4]Jun Tani, Naohiro Fukumura:
Self-organizing Internal Representation in Learning of Navigation: A Physical Experiment by the Mobile Robot YAMABICO. Neural Networks 10(1): 153-159 (1997) - [c7]Jun Tani:
Visual Attention and Learning of a Cognitive Robot. ICANN 1997: 697-702 - 1996
- [j3]Jun Tani:
Model-based learning for mobile robot navigation from the dynamical systems perspective. IEEE Trans. Syst. Man Cybern. Part B 26(3): 421-436 (1996) - [c6]Joachim Baczewski, Jun Tani:
Evolutionary Agent Planning. International Conference on Evolutionary Computation 1996: 744-747 - 1995
- [j2]Jun Tani, Naohiro Fukumura:
Embedding a grammatical description in deterministic chaos: an experiment in recurrent neural learning. Biol. Cybern. 72(4): 365-370 (1995) - [c5]Jun Tani:
Embedding Symbolic Process into Deterministic Chaos. BIES 1995: 156-162 - [c4]Jun Tani:
Essential Dynamical Structure in Learnable Autonomous Robots. ECAL 1995: 721-732 - [c3]Jun Tani:
Self-Organization of Symbolic Processes through Interaction with the Physical World. IJCAI 1995: 112-118 - [c2]Jun Tani, Naohiro Fukumura:
A Dynamical Systems Approach for a Learnable Autonomous Robot. NIPS 1995: 989-995 - 1994
- [j1]Jun Tani, Naohiro Fukumura:
Learning goal-directed sensory-based navigation of a mobile robot. Neural Networks 7(3): 553-563 (1994) - [c1]Jun Tani, Naohiro Fukumura:
Embedding task-based behavior into internal sensory-based attractor dynamics in navigation of a mobile robot. IROS 1994: 886-893
Coauthor Index
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