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Yasuo Kuniyoshi: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Yasuo Kuniyoshi, Nobuyuki Kita, Sebastien Rougeaux, Takashi Suehiro
    Active Stereo Vision System with Foveated Wide Angle Lenses. [Citation Graph (0, 0)][DBLP]
    ACCV, 1995, pp:191-200 [Conf]
  2. Hiroaki Kitano, Minoru Asada, Yasuo Kuniyoshi, Itsuki Noda, Eiichi Osawa
    RoboCup: The Robot World Cup Initiative. [Citation Graph (0, 0)][DBLP]
    Agents, 1997, pp:340-347 [Conf]
  3. Yasuo Kuniyoshi
    Fusing Autonomy and Sociability in Robots. [Citation Graph (0, 0)][DBLP]
    Agents, 1997, pp:470-471 [Conf]
  4. Olivier Stasse, Yasuo Kuniyoshi, Gordon Cheng
    Development of a Biologically Inspired Real-Time Visual Attention System. [Citation Graph (0, 0)][DBLP]
    Biologically Motivated Computer Vision, 2000, pp:150-159 [Conf]
  5. Yasuo Kuniyoshi, Sebastien Rougeaux, Olivier Stasse, Gordon Cheng, Akihiko Nagakubo
    A Humanoid Vision System for Versatile Interaction. [Citation Graph (0, 0)][DBLP]
    Biologically Motivated Computer Vision, 2000, pp:512-526 [Conf]
  6. Luc Berthouze, Sebastien Rougeaux, Florent Chavand, Yasuo Kuniyoshi
    Calibration of a Foveated Wide-Angle Lens on an Active Vision Head. [Citation Graph (0, 0)][DBLP]
    CVPR, 1996, pp:183-188 [Conf]
  7. Sebastien Rougeaux, Yasuo Kuniyoshi
    Velocity and Disparity Cues for Robust Real-Time Binocular Tracking. [Citation Graph (0, 0)][DBLP]
    CVPR, 1997, pp:1-6 [Conf]
  8. Mohammed Yeasin, Yasuo Kuniyoshi
    Detecting and Tracking Human Face and Eye Using Space-Varying Sensor and an Active Vision Head. [Citation Graph (0, 0)][DBLP]
    CVPR, 2000, pp:2168-2173 [Conf]
  9. Yasuo Kuniyoshi, Yasuaki Yorozu, Yoshiyuki Ohmura, Koji Terada, Takuya Otani, Akihiko Nagakubo, Tomoyuki Yamamoto
    From Humanoid Embodiment to Theory of Mind. [Citation Graph (0, 0)][DBLP]
    Embodied Artificial Intelligence, 2003, pp:202-218 [Conf]
  10. Yasuo Kuniyoshi, Hirochika Inoue
    Indexicality and Dynamic Attention Control in Qualitative Recogniton of Assembly Actions. [Citation Graph (0, 0)][DBLP]
    ECCV, 1992, pp:874-878 [Conf]
  11. Didier Keymeulen, Masaya Iwata, Kenji Konaka, Ryouhei Suzuki, Yasuo Kuniyoshi, Tetsuya Higuchi
    Off-Line Model-Free and On-Line Model-Based Evolution for Tracking Navigation Using Evolvable Hardware. [Citation Graph (0, 0)][DBLP]
    EvoRobots, 1998, pp:211-226 [Conf]
  12. Didier Keymeulen, Kenji Konaka, Masaya Iwata, Yasuo Kuniyoshi, Tetsuya Higuchi
    Robot Learning Using Gate-Level Evolvable Hardware. [Citation Graph (0, 0)][DBLP]
    EWLR, 1997, pp:173-0 [Conf]
  13. Alex Pitti, Max Lungarella, Yasuo Kuniyoshi
    Exploration of Natural Dynamics through Resonance and Chaos. [Citation Graph (0, 0)][DBLP]
    IAS, 2006, pp:558-565 [Conf]
  14. Didier Keymeulen, Marc Durantez, Kenji Konaka, Yasuo Kuniyoshi, Tetsuya Higuchi
    An Evolutionary Robot Navigation System Using a Gate-Level Evolvable Hardware. [Citation Graph (0, 0)][DBLP]
    ICES, 1996, pp:195-209 [Conf]
  15. Gordon Cheng, Yasuo Kuniyoshi
    Complex Continuous Meaningful Humanoid Interaction: A Multi Sensory-Cue Based Approach. [Citation Graph (0, 0)][DBLP]
    ICRA, 2000, pp:2235-2242 [Conf]
  16. James J. Kuffner Jr., Koichi Nishiwaki, Satoshi Kagami, Yasuo Kuniyoshi, Masayuki Inaba, Hirochika Inoue
    Self-Collision Detection and Prevention for Humanoid Robots. [Citation Graph (0, 0)][DBLP]
    ICRA, 2002, pp:2265-2270 [Conf]
  17. Yasuo Kuniyoshi, Nobuyuki Kita, Sebastien Rougeaux, Shigeyuki Sakane, Masaru Ishii, Masayoshi Kakikura
    Cooperation by Observation - The Framework and Basic Task Patterns. [Citation Graph (0, 0)][DBLP]
    ICRA, 1994, pp:767-774 [Conf]
  18. Yasuo Kuniyoshi, Nobuyuki Kita, Kazuhide Sugimoto, Shin Nakamura, Takashi Suehiro
    A Foveated Wide Angle Lens for Active Vision. [Citation Graph (0, 0)][DBLP]
    ICRA, 1995, pp:2982-2988 [Conf]
  19. Yasuo Kuniyoshi, Yasuaki Yorozu, Masayuki Inaba, Hirochika Inoue
    From visuo-motor self learning to early imitation -a neural architecture for humanoid learning. [Citation Graph (0, 0)][DBLP]
    ICRA, 2003, pp:3132-3139 [Conf]
  20. Koichi Nishiwaki, Yoshifumi Murakami, Satoshi Kagami, Yasuo Kuniyoshi, Masayuki Inaba, Hirochika Inoue
    A Six-Axis Force Sensor with Parallel Support Mechanism to Measure the Ground Reaction Force of Humanoid Robot. [Citation Graph (0, 0)][DBLP]
    ICRA, 2002, pp:2277-2282 [Conf]
  21. Koichi Nishiwaki, Satoshi Kagami, Yasuo Kuniyoshi, Masayuki Inaba, Hirochika Inoue
    Toe Joints that Enhance Bipedal and Fullbody Motion of Humanoid Robots. [Citation Graph (0, 0)][DBLP]
    ICRA, 2002, pp:3105-3110 [Conf]
  22. Mihoko Otake, Yoshiharu Kagami, Yasuo Kuniyoshi, Masayuki Inaba, Hirochika Inoue
    Inverse Kinematics of Gel Robots made of Electro-Active Polymer Gel. [Citation Graph (0, 0)][DBLP]
    ICRA, 2002, pp:3224-3229 [Conf]
  23. Mihoko Otake, Yoshiharu Kagami, Yasuo Kuniyoshi, Masayuki Inaba, Hirochika Inoue
    Inverse dynamics of gel robots made of electro-active polymer gel. [Citation Graph (0, 0)][DBLP]
    ICRA, 2003, pp:2299-2304 [Conf]
  24. Olivier Stasse, Yasuo Kuniyoshi
    PredN: Achieving Efficiency and Code Re-Usability in a Programming System for Complex Robotic Applications. [Citation Graph (0, 0)][DBLP]
    ICRA, 2000, pp:81-87 [Conf]
  25. Alexander Zelinsky, Yasuo Kuniyoshi, Takashi Suehiro, Hideo Tsukune
    Using an Augmentable Resource to Robustl nd Purposefully Navigate a Robot. [Citation Graph (0, 0)][DBLP]
    ICRA, 1995, pp:2586-2592 [Conf]
  26. Yasuo Kuniyoshi, Hirochika Inoue
    Qualitative Recognition of Ongoing Human Action Sequences. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1993, pp:1600-1609 [Conf]
  27. Hiroaki Kitano, Minoru Asada, Yasuo Kuniyoshi, Itsuki Noda, Eiichi Osawa, Hitoshi Matsubara
    RoboCup: A Challenge Problem for AI and Robotics. [Citation Graph (0, 0)][DBLP]
    RoboCup, 1997, pp:1-19 [Conf]
  28. Minoru Asada, Peter Stone, Hiroaki Kitano, Barry Brian Werger, Yasuo Kuniyoshi, Alexis Drogoul, Dominique Duhaut, Manuela M. Veloso, Hajime Asama, Sho'ji Suzuki
    The Robocup Physical Agent Challenge: Phase I. [Citation Graph (0, 0)][DBLP]
    Applied Artificial Intelligence, 1998, v:12, n:2-3, pp:251-263 [Journal]
  29. Hiroaki Kitano, Minoru Asada, Yasuo Kuniyoshi, Itsuki Noda, Eiichi Osawa, Hitoshi Matsubara
    RoboCup: A Challenge Problem for AI. [Citation Graph (0, 0)][DBLP]
    AI Magazine, 1997, v:18, n:1, pp:73-85 [Journal]
  30. Didier Keymeulen, Masaya Iwata, Yasuo Kuniyoshi, Tetsuya Higuchi
    Online Evolution for a Self-Adapting Robotic Navigation System Using Evolvable Hardware. [Citation Graph (0, 0)][DBLP]
    Artificial Life, 1998, v:4, n:4, pp:359-393 [Journal]
  31. Akihiko Nagakubo, Yasuo Kuniyoshi, Gordon Cheng
    The ETL-Humanoid system--a high-performance full-body humanoid system for versatile real-world interaction. [Citation Graph (0, 0)][DBLP]
    Advanced Robotics, 2003, v:17, n:2, pp:149-164 [Journal]
  32. Cota Nabeshima, Yasuo Kuniyoshi, Max Lungarella
    Adaptive body schema for robotic tool-use. [Citation Graph (0, 0)][DBLP]
    Advanced Robotics, 2006, v:20, n:10, pp:1105-1126 [Journal]
  33. Luc Berthouze, Yasuo Kuniyoshi
    Emergence and Categorization of Coordinated Visual Behavior Through Embodied Interaction. [Citation Graph (0, 0)][DBLP]
    Auton. Robots, 1998, v:5, n:3-4, pp:369-379 [Journal]
  34. Yasuo Kuniyoshi, Shinji Sangawa
    Early motor development from partially ordered neural-body dynamics: experiments with a cortico-spinal-musculo-skeletal model. [Citation Graph (0, 0)][DBLP]
    Biological Cybernetics, 2006, v:95, n:6, pp:589-605 [Journal]
  35. Luc Berthouze, Yasuo Kuniyoshi
    Emergence and Categorization of Coordinated Visual Behavior Through Embodied Interaction. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1998, v:31, n:1-3, pp:187-200 [Journal]
  36. Didier Keymeulen, Masaya Iwata, Kenji Konaka, Yasuo Kuniyoshi, Tetsuya Higuchi
    Evolvable Hardware: A Robot Navigation System Testbed. [Citation Graph (0, 0)][DBLP]
    New Generation Comput., 1998, v:16, n:2, pp:97-122 [Journal]
  37. Yasuo Kuniyoshi, Luc Berthouze
    Neural learning of embodied interaction dynamics. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1998, v:11, n:7-8, pp:1259-1276 [Journal]
  38. Christian Scheier, Rolf Pfeifer, Yasuo Kuniyoshi
    Embedded neural networks: exploiting constraints. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1998, v:11, n:7-8, pp:1551-1569 [Journal]
  39. Minoru Asada, Karl F. MacDorman, Hiroshi Ishiguro, Yasuo Kuniyoshi
    Cognitive developmental robotics as a new paradigm for the design of humanoid robots. [Citation Graph (0, 0)][DBLP]
    Robotics and Autonomous Systems, 2001, v:37, n:2-3, pp:185-193 [Journal]
  40. Gordon Cheng, Akihiko Nagakubo, Yasuo Kuniyoshi
    Continuous humanoid interaction: : An integrated perspective - gaining adaptivity, redundancy, flexibility - in one. [Citation Graph (0, 0)][DBLP]
    Robotics and Autonomous Systems, 2001, v:37, n:2-3, pp:161-183 [Journal]
  41. Yasuo Kuniyoshi, Yoshiyuki Ohmura, Koji Terada, Akihiko Nagakubo, Shin'ichiro Eitoku, Tomoyuki Yamamoto
    Embodied basis of invariant features in execution and perception of whole-body dynamic actions - knacks and focuses of Roll-and-Rise motion. [Citation Graph (0, 0)][DBLP]
    Robotics and Autonomous Systems, 2004, v:48, n:4, pp:189-201 [Journal]
  42. Mayumi Umetsu, Nitin Afzulpurkar, Yasuo Kuniyoshi, Takashi Suehiro, Nobuo Watanabe
    Implementation of a distributed controller for the RWC dexterous hand. [Citation Graph (0, 0)][DBLP]
    Robotics and Autonomous Systems, 1996, v:18, n:1-2, pp:13-19 [Journal]
  43. Koji Terada, Yasuo Kuniyoshi
    Automatic motion generation exploiting the global structure of nonlinear dynamics based on finite-time reachability. [Citation Graph (0, 0)][DBLP]
    Robotics and Autonomous Systems, 2006, v:54, n:8, pp:696-705 [Journal]
  44. Ryuma Niiyama, Akihiko Nagakubo, Yasuo Kuniyoshi
    Mowgli: A Bipedal Jumping and Landing Robot with an Artificial Musculoskeletal System. [Citation Graph (0, 0)][DBLP]
    ICRA, 2007, pp:2546-2551 [Conf]

  45. Dense sampling low-level statistics of local features. [Citation Graph (, )][DBLP]


  46. AI Goggles: Real-time Description and Retrieval in the Real World with Online Learning. [Citation Graph (, )][DBLP]


  47. View of Boosting as a Search for Randomness Deficiencies. [Citation Graph (, )][DBLP]


  48. Image annotation and retrieval based on efficient learning of contextual latent space. [Citation Graph (, )][DBLP]


  49. Conformable and Scalable Tactile Sensor Skin for Curved Surfaces. [Citation Graph (, )][DBLP]


  50. Wearable motion capture suit with full-body tactile sensors. [Citation Graph (, )][DBLP]


  51. High-speed 3D object recognition using additive features in a linear subspace. [Citation Graph (, )][DBLP]


  52. Online Humanoid Walking Control and 3D Vision-based Locomotion. [Citation Graph (, )][DBLP]


  53. Causality quantification and its applications: structuring and modeling of multivariate time series. [Citation Graph (, )][DBLP]


  54. High-Performance Image Annotation and Retrieval for Weakly Labeled Images Using Latent Space Learning. [Citation Graph (, )][DBLP]


  55. Detection of Weak Signals by Emotion-Derived Stochastic Resonance. [Citation Graph (, )][DBLP]


  56. Acquisition of Human-Robot Interaction Rules via Imitation and Response Observation. [Citation Graph (, )][DBLP]


  57. Toward a Theory of Embodied Statistical Learning. [Citation Graph (, )][DBLP]


  58. Compression Rate Methodology for Pure Empirical Vision Science. [Citation Graph (, )][DBLP]


  59. On the Information Theoretic Implications of Embodiment - Principles and Methods. [Citation Graph (, )][DBLP]


  60. Inter-modal Learning and Object Concept Acquisition. [Citation Graph (, )][DBLP]


  61. Thorough ZDF-Based Localization for Binocular Tracking. [Citation Graph (, )][DBLP]


  62. Exploiting the Global Dynamics Structure of Whole-Body Humanoid Motion - Getting the "Knack" of Roll-and-Rise Motion. [Citation Graph (, )][DBLP]


  63. Emergence, Exploration and Learning of Embodied Behavior. [Citation Graph (, )][DBLP]


  64. ETL-Humanoid: A Research Vehicle for Open-Ended Action Imitation. [Citation Graph (, )][DBLP]


  65. Low-level Autonomy of the Humanoid Robots H6 & H7. [Citation Graph (, )][DBLP]


  66. Eyes-Neck Coordination Using Chaos. [Citation Graph (, )][DBLP]


  67. Smart extraction of desired object from color-distance image with user's tiny scribble. [Citation Graph (, )][DBLP]


  68. Development of Wireless Networked Tiny Orientation Device for Wearable Motion Capture and Measurement of Walking Around, Walking Up and Down, and Jumping Tasks. [Citation Graph (, )][DBLP]


  69. Journalist robot: robot system making news articles from real world. [Citation Graph (, )][DBLP]


  70. Humanoid robot which can lift a 30kg box by whole body contact and tactile feedback. [Citation Graph (, )][DBLP]


  71. Co-creation of human-robot interaction rules through response prediction and habituation/dishabituation. [Citation Graph (, )][DBLP]


  72. Development of emotional tremor-based vision system. [Citation Graph (, )][DBLP]


  73. Analyzing the "knack" of human piggyback motion based on simultaneous measurement of tactile and movement data as a basis for humanoid control. [Citation Graph (, )][DBLP]


  74. Partial Matching for Real Textured 3D Objects using Color Cubic Higher-order Local Auto-Correlation Features. [Citation Graph (, )][DBLP]


  75. Academic Roadmap in Integrated Information Field. [Citation Graph (, )][DBLP]


  76. Preface. [Citation Graph (, )][DBLP]


  77. Autonomous Adaptive Emergent Systems. [Citation Graph (, )][DBLP]


  78. Mobile sensing robots for nuclear power plant inspection. [Citation Graph (, )][DBLP]


  79. Learning to coordinate behaviors for robot navigation. [Citation Graph (, )][DBLP]


  80. Creating and modulating rhythms by controlling the physics of the body. [Citation Graph (, )][DBLP]


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