Journal papers

  • Sugimoto, N., Morimoto, J., Hyon, S., Kawato, M., (2012).
    The eMOSAIC model for humanoid robot control.
    Neural Networks, 29-30, 8-9. [PDF]
  • Sugimoto, N., Haruno, M., Doya, K., Kawato, M., (2012).
    Mosaic for multiple-reward environments.
    Neural Computation, 24, 3, 577-606.
  • Matsubara, T., Hyon, S., Morimoto, J., (2012).
    Real-time stylistic prediction for whole-body human motions.
    Neural Networks, 25, 191-199.
  • Matsubara, T., Hyon, S., Morimoto, J., (2011).
    Learning parametric dynamic movement primitives from multiple demonstrations.
    Neural Networks, 24, Issue 5, 493-500.

  • Ude, A., Gams, A., Asfour, T., Morimoto, J. (2010).
    Task-specific generalization of discrete and periodic dynamic movement primitives.
    IEEE Transactions on Robotics, 26, 5, 800-815.

  • Hyon, S. (2009).
    A motor control strategy with virtual musculoskeletal systems for compliant anthropomorphic robots.
    IEEE/ASME Transactions on Mechatronics, 14, 6, 677-688.
  • Morimoto, J., Atkeson, C. G. (2009).
    Nonparametric representation of an approximated poincare map for learning biped locomotion.
    Autonomous Robots, Vol.27, 2, 131-144.

  • Hyon, S. (2009).
    Compliant terrain adaptation for biped humanoids without measuring ground surface and contact forces.
    IEEE Transactions on Robotics, 25, 1, 171-178.
  • Ude, A., Omrcen, D., Cheng, G. (2008).
    Making object learning and recognition an active process.
    International Journal of Humanoid Robotics, 5, 2, 267-286.
  • Hale, J. G., Hohl, B., Hyon, S., Matsubara, T., Moraud, E. M., Cheng, G. (2008).
    Highly precise dynamic simulation environment for humanoid robots.
    Advanced Robotics: Special Issue on Humanoid Technologies and Systems, 22, 10, 1075-1105.
  • Matsubara, T., Morimoto, J., Nakanishi, J., Hyon, S., Hale, J. G., Cheng, G. (2008).
    Learning to acquire whole-body humanoid center of mass movements to achieve dynamic tasks.
    Advanced Robotics: Special Issue on Humanoid Technologies and Systems, 22, 10, 1125-1142.
  • Nakanishi, J., Cory, R., Mistry, M., Peters, J., Schaal, S. (2008).
    Operational Space Control: A theoretical and empirical comparison.
    International Journal of Robotics Research, 27, 6, 737-757.

  • Moren, J., Ude, A., Koene, A., Cheng, G. (2008).
    Biologically based top-down attention modulation for humanoid interactions.
    International Journal of Humanoid Robotics, 5, 1, 3-24.
  • Endo, G., Morimoto, J., Matsubara, T., Nakanishi, J., Cheng, G. (2008).
    Learning CPG-based biped locomotion with a policy gradient method: Application to a humanoid robot.
    The International Journal of Robotics Research, Special Issue on Machine Learning in Robotics, 27, 2, 213-228.
  • Chaminade, T., Oztop, E., Cheng, G., Kawato, M. (2008).
    From self-observation to imitation: Visuomotor association on a robotic hand.
    Brain Research Bulletin, 75, 775-784.
  • Morimoto, J., Endo, G., Nakanishi, J., Cheng, G. (2008).
    A biologically inspired biped locomotion strategy for humanoid robots: Modulation of simple sinusoidal patterns by a coupled oscillator model.
    IEEE Transaction on Robotics, 24, 1, 185-191.
  • Cheng, G., Metta, G., Cannata, G., Sandini, G. (2008).
    Humanoid technologies:”Know-how”.
    Robotics and Autonomous Systems, 56, Issue 1, 1-3.

  • Peters, J., Mistry, M., Udwadia, F., Nakanishi, J., Schaal, S. (2007).
    A unifying framework for robot control with redundant DOFs.
    Autonomous Robots, Vil.24, 1, 1-12.
  • Hyon, S., Hale, J. G., Cheng, G. (2007).
    Full-body compliant human-humanoid interaction: Balancing in the presence of unknown external forces.
    IEEE Transactions on Robotics, 23, 5, 884-898.
  • Koene, A., Arnold, D., Johnston, A. (2007).
    Bimodal sensory discrimination is finer than dual single modality discrimination.
    Journal of Vision, 7, 11, Article14, 1-11.
  • Cheng, G., Hyon, S., Morimoto, J., Ude, A., Hale, J. G., Colvin, G., Scroggin, W., Jacobsen, S. C. (2007).
    CB: A humanoid research platform for exploring neuroscience.
    Journal of Advance Robotics, 21, 10, 1097-1114.
  • Ude, A., Moren, J., Cheng, G. (2007).
    Visual attention and distributed processing of visual information for the control of humanoid robots.
    Humanoid Robots Human-like Machines (International Journal of Advanced Robotic Systems), 423-436.
  • Morimoto, J., Atkeson, C. (2007).
    Learning biped locomotion: Application of poincare-map-based reinforcement learning.
    IEEE Robotics and Automation Magazine, 14, 2, 41-51.
  • Koene, A. R., Zhaoping, L. (2007).
    Feature-specific interactions in salience from combined feature contrasts: Evidence for a bottom-up saliency map in V1.
    Journal of Vision, 7, 7, Article 6, 1-14.
  • Morimoto, J., Doya, K. (2007).
    Reinforcement learning state estimator.
    Neural Computation, 19, 3, 730-756.
  • Oztop, E. (2006).
    An upper bound on the minimum number of onomials required to separate dichotomies of {-1,1}n.
    Neural Computation, 18, 3119-3138.
  • Matsubara, T., Morimoto, J., Nakanishi, J., Sato, M., Doya, K. (2006).
    Learning CPG-based biped locomotion with a policy gradient method.
    Robotics and Autonomous Systems, 54,911-920.

  • Oztop, E., Imamizu, H., Cheng, G., Kawato, M. (2006).
    A computational model of anterior intraparietal (AIP) neurons.
    Neurocomputing, 69, 1354-1361.
  • Oztop, E., Kawato, M., Arbib, M. A. (2006).
    Mirror neurons and limitation: A computationally guided review.
    Neural Networks, 19 254-271.
  • Oztop, E., Franklin, D. W., Chaminade, T., Cheng, G. (2005).
    Human-humanoid interaction: Is a humanoid robot perceived as a human?.
    International Journal of Humanoid Robotics, 2, 4, 537-559.
  • Cheng, G., Schaal, S., Atkeson, C. G. (2005).
    Editorial by guest editor.
    International Journal of Humanoid Robotics, 2, 4, Editorial 389-390.
  • Hale, J. G. (2005).
    Practical and theoretical research into humanoid motion and interaction.
    IEEE System, Man, and Cybernetics Society eNewsletter / Internet News Letter.
  • Hale, J. G., Pollick, F. E. (2005).
    ‘Sticky hands’: Learning and generalisation for cooperative physical interactions with a humanoid robot.
    IEEE Transactions on Systems, Man, and Cybernetics : Part C, 35, 4, 512-521.
  • Arbib, M. A., Oztop, E., Zukow-goldring, P. (2005).
    Language and the mirror system: A perception/action based approach to communicative development.
    Cognitie, Creier, Comportament, IX, 3, 239-272.
  • Pollick, F. E., Hale, J. G., Tzoneva, M. (2005).
    Perception of humanoid movement.
    International Journal of Humanoid Robotics, 2, 3, 277-300.
  • Oztop, E., Kawato, M. (2005).
    Conceptual and computational models of mirror neurons.
    Journal of Japanese Neural Network Society, The Brain & Neural Networks, 12, 1 61-73.
  • Gaskett, C., Ude, A., Cheng, G. (2005).
    Hand-eye coordination through endpoint closed-loop and learned endpoint open-loop visual servo control.
    International Journal of Humanoid Robotics, 2, 2, 203-224.
  • Morimoto, J., Doya, K. (2005).
    Robust reinforcement learning.
    Neural Computation, 17, 335-359.
  • Nakanishi, J., Farrell, J. A., Schaal, S. (2005).
    Composite adaptive control with locally weighted statistical learning.
    Neural Networks, 18, 71-90.

  • Schaal, S., Sternad, D., Osu, R., Kawato, M. (2004).
    Rhythmic arm movement is not discrete.
    Nature Neuroscience, 7, 10, 1136-1143.
  • Bentivegna, D. C., Atkeson, C. G., Cheng, G. (2004).
    Learning tasks from observation and practice.
    Robotics and Autonomous Systems, 47, 163-169.
  • Nakanishi, J., Morimoto, J., Endo, G., Cheng, G., Schaal, S., Kawato, M. (2004).
    Learning from demonstration and adaptation of biped locomotion.
    Robotics and Autonomous Systems, 47, 79-91.
  • Ude, A., Atkeson, C. G., Riley, M. (2004).
    Programming full-body movements for humanoid robots by observation.
    Robotics and Autonomous Systems, 47, 93-108.
  • Billard, A., Epars, Y., Calinon, S., Schaal, S., Cheng, G. (2004).
    Discovering optimal imitation strategies.
    Robotics and Autonomous Systems, 47-2004, 69-77.
  • Bentivegna, D. C., Atkeson, C. G., Ude, A., Cheng, G. (2004).
    Learning to act from observation and practice.
    International Journal of Humanoid Robotics, 1, 4, 585-611.
  • Pollard, N. S. (2004).
    Closure and quality equivalence for efficient synthesis of grasps from examples.
    International Journal of Robotics Research, 23, 6, 595-613.
  • Nakanishi, J., Schaal, S. (2004).
    Feedback error learning and nonlinear learning adaptive control.
    Neural Networks, 17, 1453-1465.
  • Miyamoto, H., Morimoto, J., Doya, K., Kawato, M. (2004).
    Reinforcement learning with via-point representation.
    Neural Networks, 17, 299-305.

  • Bentivegna, D. C., Atkeson, C. G., Cheng, G. (2004).
    A framework for learning from observation using primitives.
    Journal of the Robotics Society of Japan, 22, 2, 176-181.