2009 | ||
---|---|---|
44 | EE | Ichiro Igari, Jun Tani: Incremental learning of sequence patterns with a modular network model. Neurocomputing 72(7-9): 1910-1919 (2009) |
2008 | ||
43 | 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 Springer 2008 | |
42 | EE | 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 |
41 | EE | Shun Nishide, Tetsuya Ogata, Ryunosuke Yokoya, Jun Tani, Kazunori Komatani, Hiroshi G. Okuno: Active sensing based dynamical object feature extraction. IROS 2008: 1-7 |
40 | EE | Michail Maniadakis, Jun Tani: Dynamical Systems Account for Meta-level Cognition. SAB 2008: 311-320 |
39 | EE | Yuuya Sugita, Jun Tani: Acquiring a Functionally Compositional System of Goal-Directed Actions of a Simulated Agent. SAB 2008: 331-341 |
38 | EE | Jun Tani, Ryunosuke Nishimoto, Jun Namikawa, Masato Ito: Codevelopmental Learning Between Human and Humanoid Robot Using a Dynamic Neural-Network Model. IEEE Transactions on Systems, Man, and Cybernetics, Part B 38(1): 43-59 (2008) |
37 | EE | 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) |
36 | EE | 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) |
35 | EE | 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) |
2007 | ||
34 | EE | 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 |
33 | EE | 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 |
32 | EE | 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 |
31 | EE | 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 |
30 | EE | Hiroaki Arie, Tetsuya Ogata, Jun Tani, Shigeki Sugano: Reinforcement learning of a continuous motor sequence with hidden states. Advanced Robotics 21(10): 1215-1229 (2007) |
29 | EE | Ryunosuke Yokoya, Tetsuya Ogata, Jun Tani, Kazunori Komatani, Hiroshi G. Okuno: Experience-based imitation using RNNPB. Advanced Robotics 21(12): 1351-1367 (2007) |
2006 | ||
28 | EE | Hiroaki Arie, Jun Namikawa, Tetsuya Ogata, Jun Tani, Shigeki Sugano: Reinforcement Learning Algorithm with CTRNN in Continuous Action Space. ICONIP (1) 2006: 387-396 |
27 | EE | Ryunosuke Yokoya, Tetsuya Ogata, Jun Tani, Kazunori Komatani, Hiroshi G. Okuno: Experience Based Imitation Using RNNPB. IROS 2006: 3669-3674 |
26 | EE | 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 |
25 | EE | 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) |
2005 | ||
24 | EE | Tetsuya Ogata, Shigeki Sugano, Jun Tani: Open-end human-robot interaction from the dynamical systems perspective: mutual adaptation and incremental learning. Advanced Robotics 19(6): 651-670 (2005) |
2004 | ||
23 | EE | Rainer W. Paine, Jun Tani: Evolved Motor Primitives and Sequences in a Hierarchical Recurrent Neural Network. GECCO (1) 2004: 603-614 |
22 | EE | Masato Ito, Jun Tani: Generalization in Learning Multiple Temporal Patterns Using RNNPB. ICONIP 2004: 592-598 |
21 | EE | Masato Ito, Jun Tani: On-line Imitative Interaction with a Humanoid Robot Using a Mirror Neuron Model. ICRA 2004: 1071-1076 |
20 | EE | 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 |
19 | EE | 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) |
18 | EE | 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) |
17 | EE | 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) |
2003 | ||
16 | EE | Jun Tani: Symbols and Dynamics in Embodied Cognition: Revisiting a Robot Experiment. Anticipatory Behavior in Adaptive Learning Systems 2003: 167-178 |
15 | EE | Ryunosuke Nishimoto, Jun Tani: Learning to Generate Combinatorial Action Sequences Utilizing the Initial Sensitivity of Deterministic Dynamical Systems. IWANN (1) 2003: 422-429 |
14 | EE | Yuuya Sugita, Jun Tani: A Holistic Approach to Compositional Semantics: A Connectionist Model and Robot Experiments. NIPS 2003 |
13 | Jun Tani, Masato Ito: Self-organization of behavioral primitives as multiple attractor dynamics: A robot experiment. IEEE Transactions on Systems, Man, and Cybernetics, Part A 33(4): 481-488 (2003) | |
12 | EE | Jun Tani: Learning to generate articulated behavior through the bottom-up and the top-down interaction processes. Neural Networks 16(1): 11-23 (2003) |
1999 | ||
11 | Jun Tani, Yuuya Sugita: On the Dynamics of Robot Exploration Learning. ECAL 1999: 279-288 | |
10 | EE | 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) |
9 | EE | 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) |
1998 | ||
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. ICONIP 1998: 256-259 | |
1997 | ||
7 | Jun Tani: Visual Attention and Learning of a Cognitive Robot. ICANN 1997: 697-702 | |
6 | EE | 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) |
1996 | ||
5 | Joachim Baczewski, Jun Tani: Evolutionary Agent Planning. International Conference on Evolutionary Computation 1996: 744-747 | |
1995 | ||
4 | Jun Tani: Essential Dynamical Structure in Learnable Autonomous Robots. ECAL 1995: 721-732 | |
3 | Jun Tani: Self-Organization of Symbolic Processes through Interaction with the Physical World. IJCAI 1995: 112-118 | |
2 | EE | Jun Tani, Naohiro Fukumura: A Dynamical Systems Approach for a Learnable Autonomous Robot. NIPS 1995: 989-995 |
1994 | ||
1 | EE | Jun Tani, Naohiro Fukumura: Learning goal-directed sensory-based navigation of a mobile robot. Neural Networks 7(3): 553-563 (1994) |