Search Results - "MacDorman, K.F."

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  1. 1

    Cognitive developmental robotics as a new paradigm for the design of humanoid robots by Asada, Minoru, MacDorman, Karl F., Ishiguro, Hiroshi, Kuniyoshi, Yasuo

    Published in Robotics and autonomous systems (30-11-2001)
    “…This paper proposes cognitive developmental robotics (CDR) as a new principle for the design of humanoid robots. This principle may provide ways of…”
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    Journal Article
  2. 2

    Generating natural motion in an android by mapping human motion by Matsui, D., Minato, T., MacDorman, K.F., Ishiguro, H.

    “…One of the main aims of humanoid robotics is to develop robots that are capable of interacting naturally with people. However, to understand the essence of…”
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    Conference Proceeding
  3. 3

    Long-term relationships as a benchmark for robot personhood by MacDorman, K.F., Cowley, S.J.

    “…The human body constructs itself into a person by becoming attuned to the affective consequences of its actions in social relationships. Norms develop that…”
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    Conference Proceeding
  4. 4

    Building the Mega-Collaboration Interface: Behavioral, Cultural, and Cognitive Factors in Visualization Support by Newlon, C.M., Faiola, A., MacDorman, K.F.

    “…Technology has enabled mega-collaboration on an unprecedented scale. A tool is needed to coordinate these activities and link them to government response…”
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    Conference Proceeding
  5. 5

    Inverse kinematics learning for robotic arms with fewer degrees of freedom by modular neural network systems by Oyama, E., Maeda, T., Gan, J.Q., Rosales, E.M., MacDorman, K.F., Tachi, S., Agah, A.

    “…Artificial neural networks have been traditionally employed to learn and compute the inverse kinematics of a robotic arm. However, the inverse kinematics model…”
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    Conference Proceeding
  6. 6

    Memory-Based Attention Control for Activity Recognition at a Subway Station by MacDorman, K.F., Nobuta, H., Koizumi, S., Ishiguro, H.

    Published in IEEE multimedia (01-04-2007)
    “…We have developed a multicamera system, Digital City Surveillance, which uses a new calibration-free behavior recognition method for monitoring human activity…”
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    Magazine Article
  7. 7

    Periodic nonlinear principal component neural networks for humanoid motion segmentation, generalization, and generation by MacDorman, K.F., Chalodhorn, R., Asada, M.

    “…In an experiment with a soccer playing robot, periodic temporally-constrained nonlinear principal component neural networks (NLPCNNs) are shown to characterize…”
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    Conference Proceeding
  8. 8

    Proto-symbol emergence by MacDorman, K.F., Tatani, K., Miyazaki, Y., Koeda, M.

    “…Robotics can serve as a testbed for cognitive theories. One behavioral criterion for comparing theories is the extent to which their implementations can learn…”
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    Conference Proceeding
  9. 9

    Mortality salience and the uncanny valley by MacDorman, K.F.

    “…It seems natural to assume that the more closely robots come to resemble people, the more likely they are to elicit the kinds of responses people direct toward…”
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    Conference Proceeding
  10. 10

    Responding to affordances: learning and projecting a sensorimotor mapping by MacDorman, K.F.

    “…An important aim of robotics is to design and build machines that can recognize and exploit opportunities afforded by new situations. Traditionally in…”
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    Conference Proceeding Journal Article
  11. 11

    Protosymbol emergence based on embodiment: robot experiments by MacDorman, K.F., Tatani, K., Miyazaki, Y., Koeda, M., Nakamura, Y.

    “…Robotics can serve as a testbed for cognitive theories. One behavioral criterion for comparing theories is the extent to which their implementations can learn…”
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    Conference Proceeding Journal Article
  12. 12

    Precise planar positioning using visual servoing based on coarse optical flow by Mitsuda, T., Miyazaki, Y., Maru, N., MacDorman, K.F., Miyazaki, F.

    “…In the drive towards miniaturization in manufacturing, accuracy in positioning minute objects by camera is vital. For visual servoing, the rapid and robust…”
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    Conference Proceeding
  13. 13

    Learning a coordinate transformation for a human visual feedback controller based on disturbance noise and the feedback error signal by Oyama, E., Nak Young Chong, Agah, A., Maeda, T., Tachi, S., MacDorman, K.F.

    “…The speed, accuracy, and adaptability of human movement depends on the brain performing an inverse kinematics transformation-that is, a transformation from…”
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    Conference Proceeding Journal Article
  14. 14

    A new model of the visual feedback coordinate transformation in humans based on disturbance noise and feedback error that accounts for time delays by Oyama, E., MacDorman, K.F., Maeda, T., Tachi, S., Agah, A.

    “…An essential factor in understanding the motor learning capability of humans, is the coordinate transformation learning of the visual feedback controller…”
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    Conference Proceeding