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Jun Tani: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Jun Tani
    Symbols and Dynamics in Embodied Cognition: Revisiting a Robot Experiment. [Citation Graph (0, 0)][DBLP]
    Anticipatory Behavior in Adaptive Learning Systems, 2003, pp:167-178 [Conf]
  2. Jun Tani
    Essential Dynamical Structure in Learnable Autonomous Robots. [Citation Graph (0, 0)][DBLP]
    ECAL, 1995, pp:721-732 [Conf]
  3. Jun Tani, Yuuya Sugita
    On the Dynamics of Robot Exploration Learning. [Citation Graph (0, 0)][DBLP]
    ECAL, 1999, pp:279-288 [Conf]
  4. Rainer W. Paine, Jun Tani
    Evolved Motor Primitives and Sequences in a Hierarchical Recurrent Neural Network. [Citation Graph (0, 0)][DBLP]
    GECCO (1), 2004, pp:603-614 [Conf]
  5. Jun Tani
    Visual Attention and Learning of a Cognitive Robot. [Citation Graph (0, 0)][DBLP]
    ICANN, 1997, pp:697-702 [Conf]
  6. Joachim Baczewski, Jun Tani
    Evolutionary Agent Planning. [Citation Graph (0, 0)][DBLP]
    International Conference on Evolutionary Computation, 1996, pp:744-747 [Conf]
  7. Hiroaki Arie, Jun Namikawa, Tetsuya Ogata, Jun Tani, Shigeki Sugano
    Reinforcement Learning Algorithm with CTRNN in Continuous Action Space. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:387-396 [Conf]
  8. Koji Horikawa, Hideki Asoh, Jun Tani, Toshihiro Matsui, Masayoshi Kakikura
    Emergence of Expert Modules for Mobile Robot Navigation from a Mixture of Elman Networks. [Citation Graph (0, 0)][DBLP]
    ICONIP, 1998, pp:256-259 [Conf]
  9. Masato Ito, Jun Tani
    Generalization in Learning Multiple Temporal Patterns Using RNNPB. [Citation Graph (0, 0)][DBLP]
    ICONIP, 2004, pp:592-598 [Conf]
  10. Tetsuya Ogata, Shigeki Sugano, Jun Tani
    Open-End Human Robot Interaction from the Dynamical Systems Perspective: Mutual Adaptation and Incremental Learning. [Citation Graph (0, 0)][DBLP]
    IEA/AIE, 2004, pp:435-444 [Conf]
  11. Jun Tani
    Self-Organization of Symbolic Processes through Interaction with the Physical World. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1995, pp:112-118 [Conf]
  12. Ryunosuke Nishimoto, Jun Tani
    Learning to Generate Combinatorial Action Sequences Utilizing the Initial Sensitivity of Deterministic Dynamical Systems. [Citation Graph (0, 0)][DBLP]
    IWANN (1), 2003, pp:422-429 [Conf]
  13. Yuuya Sugita, Jun Tani
    A Holistic Approach to Compositional Semantics: A Connectionist Model and Robot Experiments. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  14. Jun Tani, Naohiro Fukumura
    A Dynamical Systems Approach for a Learnable Autonomous Robot. [Citation Graph (0, 0)][DBLP]
    NIPS, 1995, pp:989-995 [Conf]
  15. 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. [Citation Graph (0, 0)][DBLP]
    SAB, 2006, pp:185-196 [Conf]
  16. Tetsuya Ogata, Shigeki Sugano, Jun Tani
    Open-end human-robot interaction from the dynamical systems perspective: mutual adaptation and incremental learning. [Citation Graph (0, 0)][DBLP]
    Advanced Robotics, 2005, v:19, n:6, pp:651-670 [Journal]
  17. 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. [Citation Graph (0, 0)][DBLP]
    Connect. Sci., 1999, v:11, n:2, pp:125-148 [Journal]
  18. 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. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2006, v:19, n:3, pp:323-337 [Journal]
  19. Ryunosuke Nishimoto, Jun Tani
    Learning to generate combinatorial action sequences utilizing the initial sensitivity of deterministic dynamical systems. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2004, v:17, n:7, pp:925-933 [Journal]
  20. Rainer W. Paine, Jun Tani
    Motor primitive and sequence self-organization in a hierarchical recurrent neural network. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2004, v:17, n:8-9, pp:1291-1309 [Journal]
  21. Jun Tani, Naohiro Fukumura
    Learning goal-directed sensory-based navigation of a mobile robot. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1994, v:7, n:3, pp:553-563 [Journal]
  22. Jun Tani, Masato Ito, Yuuya Sugita
    Self-organization of distributedly represented multiple behavior schemata in a mirror system: reviews of robot experiments using RNNPB. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2004, v:17, n:8-9, pp:1273-1289 [Journal]
  23. Jun Tani, Stefano Nolfi
    Learning to perceive the world as articulated: an approach for hierarchical learning in sensory-motor systems. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1999, v:12, n:7-8, pp:1131-1141 [Journal]
  24. Jun Tani, Naohiro Fukumura
    Self-organizing Internal Representation in Learning of Navigation: A Physical Experiment by the Mobile Robot YAMABICO. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1997, v:10, n:1, pp:153-159 [Journal]
  25. Jun Tani
    Learning to generate articulated behavior through the bottom-up and the top-down interaction processes. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2003, v:16, n:1, pp:11-23 [Journal]
  26. Jun Tani, Masato Ito
    Self-organization of behavioral primitives as multiple attractor dynamics: A robot experiment. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part A, 2003, v:33, n:4, pp:481-488 [Journal]
  27. Tetsuya Ogata, Shohei Matsumoto, Jun Tani, Kazunori Komatani, Hiroshi G. Okuno
    Human-Robot Cooperation using Quasi-symbols Generated by RNNPB Model. [Citation Graph (0, 0)][DBLP]
    ICRA, 2007, pp:2156-2161 [Conf]
  28. Shun Nishide, Tetsuya Ogata, Jun Tani, Kazunori Komatani, Hiroshi G. Okuno
    Predicting Object Dynamics from Visual Images through Active Sensing Experiences. [Citation Graph (0, 0)][DBLP]
    ICRA, 2007, pp:2501-2506 [Conf]
  29. Masato Ito, Jun Tani
    On-line Imitative Interaction with a Humanoid Robot Using a Mirror Neuron Model. [Citation Graph (0, 0)][DBLP]
    ICRA, 2004, pp:1071-1076 [Conf]
  30. Hiroaki Arie, Tetsuya Ogata, Jun Tani, Shigeki Sugano
    Reinforcement learning of a continuous motor sequence with hidden states. [Citation Graph (0, 0)][DBLP]
    Advanced Robotics, 2007, v:21, n:10, pp:1215-1229 [Journal]

  31. Integrative Learning between Language and Action: A Neuro-Robotics Experiment. [Citation Graph (, )][DBLP]


  32. Object dynamics prediction and motion generation based on reliable predictability. [Citation Graph (, )][DBLP]


  33. Prediction and imitation of other's motions by reusing own forward-inverse model in robots. [Citation Graph (, )][DBLP]


  34. Dynamical Systems Account for Meta-level Cognition. [Citation Graph (, )][DBLP]


  35. Acquiring a Functionally Compositional System of Goal-Directed Actions of a Simulated Agent. [Citation Graph (, )][DBLP]


  36. Active sensing based dynamical object feature extraction. [Citation Graph (, )][DBLP]


  37. Two-way translation of compound sentences and arm motions by recurrent neural networks. [Citation Graph (, )][DBLP]


  38. Discovery of other individuals by projecting a self-model through imitation. [Citation Graph (, )][DBLP]


  39. Experience Based Imitation Using RNNPB. [Citation Graph (, )][DBLP]


  40. Modeling tool-body assimilation using second-order Recurrent Neural Network. [Citation Graph (, )][DBLP]


  41. Experience-based imitation using RNNPB. [Citation Graph (, )][DBLP]


  42. Predicting Object Dynamics From Visual Images Through Active Sensing Experiences. [Citation Graph (, )][DBLP]


  43. Self-organization of Dynamic Object Features Based on Bidirectional Training. [Citation Graph (, )][DBLP]


  44. Embedding a grammatical description in deterministic chaos: an experiment in recurrent neural learning. [Citation Graph (, )][DBLP]


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