Search Results - "Alissandrakis, A."

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  1. 1

    Correspondence Mapping Induced State and Action Metrics for Robotic Imitation by Alissandrakis, A., Nehaniv, C.L., Dautenhahn, K.

    “…This paper addresses the problem of body mapping in robotic imitation where the demonstrator and imitator may not share the same embodiment [degrees of freedom…”
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    Journal Article
  2. 2

    Imitation with ALICE: learning to imitate corresponding actions across dissimilar embodiments by Alissandrakis, A., Nehaniv, C.L., Dautenhahn, K.

    “…Imitation is a powerful mechanism whereby knowledge may be transferred between agents (both biological and artificial). Key problems on the topic of imitation…”
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    Journal Article
  3. 3

    Prediction of knot size in uneven-sized Norway spruce stands in Sweden by Fagerberg, N., Seifert, S., Seifert, T., Lohmander, P., Alissandrakis, A., Magnusson, B., Bergh, J., Adamopoulos, S., Bader, M.K.-F.

    Published in Forest ecology and management (15-09-2023)
    “…•A framework of allometric models for maximum knot size prediction is presented.•The model framework is valid for uneven-sized Norway spruce dominated…”
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    Journal Article
  4. 4

    Methodological Issues of Annotating Vision Sensor Data using Subjects' Own Judgement of Comfort in a Robot Human Following Experiment by Koay, K.L., Zivkovic, Z., Krose, B., Dautenhahn, K., Walters, M.L., Otero, N.R., Alissandrakis, A.

    “…When determining subject preferences for human-robot interaction, an important issue is the interpretation of the subjects' responses during the trials…”
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    Conference Proceeding
  5. 5

    An Approach for Programming Robots by Demonstration: Generalization Across Different Initial Configurations of Manipulated Objects by Alissandrakis, A., Nehaniv, C.L., Dautenhahn, K., Saunders, J.

    “…Imitation is a powerful learning tool that can be used by a robotic agent to socially learn new skills and tasks. One of the fundamental problems in imitation…”
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    Conference Proceeding
  6. 6

    Synchrony and perception in robotic imitation across embodiments by Alissandrakis, A., Nehaniv, C.L., Dautenhahn, K.

    “…Social robotics opens up the possibility of individualized social intelligence in member robots of a community, and allows us to harness not only individual…”
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    Conference Proceeding
  7. 7

    Full-body gesture recognition using inertial sensors for playful interaction with small humanoid robot by Cooney, M D, Becker-Asano, C, Kanda, T, Alissandrakis, A, Ishiguro, H

    “…People like to play, and robotic technology offers the opportunity to interact with artifacts in new ways. Robots co-existing with humans in domestic and…”
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    Conference Proceeding
  8. 8

    Human to robot demonstrations of routine home tasks: Adaptation to the robot's preferred style of demonstration by Alissandrakis, A., Miyake, Y.

    “…This paper presents a follow-up to a previous user-study that considered the participants' acknowledgment of feedback from a robot, to which they had to…”
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    Conference Proceeding
  9. 9

    Action, State and Effect Metrics for Robot Imitation by Alissandrakis, A., Nehaniv, C.L., Dautenhahn, K.

    “…This paper addresses the problem of body mapping in robotic imitation where the demonstrator and imitator may not share the same embodiment (degrees of freedom…”
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    Conference Proceeding
  10. 10

    Helping robots imitate: Metrics and technological solutions inspired by human behaviour by Alissandrakis, A., Otero, N., Saunders, J.

    “…In this paper we describe three lines of research related to the issue of helping robots imitate people. These studies are based on observed human behaviour,…”
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    Conference Proceeding
  11. 11
  12. 12

    Human to robot demonstrations of routine home tasks: exploring the role of the robot's feedback by Otero, Nuno, Alissandrakis, Aris, Dautenhahn, Kerstin, Nehaniv, Chrystopher, Syrdal, Dag Sverre, Koay, Kheng Lee

    “…In this paper, we explore some conceptual issues, relevant for the design of robotic systems aimed at interacting with humans in domestic environments. More…”
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    Conference Proceeding