Synchrony and perception in robotic imitation across embodiments

A. Alissandrakis; C.L. Nehaniv; K. Dautenhahn

Synchrony and perception in robotic imitation across embodiments

A. Alissandrakis, C.L. Nehaniv, K. Dautenhahn

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

13 Citations (Scopus)

35 Downloads (Pure)

Abstract

Social robotics opens up the possibility of individualized social intelligence in member robots of a community, and allows us to harness not only individual
learning by the individual robot, but also the acquisition of new skills by observing other members of the community (robot, human, or virtual).
We describe ALICE (Action Learning for Imitation via Correspondences between Embodiments), an implemented generic mechanism for solving
the correspondence problem between differently embodied robots. ALICE enables a robotic agent to learn a behavioral repertoire suitable to performing a
task by observing a model agent, possibly having a different type of body, joints, different number of degrees of freedom, etc. Previously we demonstrated that the character of imitation achieved will depend on the granularity
of subgoal matching, and on the metrics used to evaluate success

Original language	English
Title of host publication	Procs of the 2003 IEEE Int Symposium on Computational Intelligence in Robotics and Automation
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	923-930
Publication status	Published - 2003
Event	IEEE Int Symp on Computational Intelligence in Robotics and Automation - Kobe, Japan Duration: 16 Jul 2003 → 20 Jul 2003

Conference

Conference	IEEE Int Symp on Computational Intelligence in Robotics and Automation
Country/Territory	Japan
City	Kobe
Period	16/07/03 → 20/07/03

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Cite this

@inproceedings{132ab7234d264c93b3dd06d0a0982496,

title = "Synchrony and perception in robotic imitation across embodiments",

abstract = "Social robotics opens up the possibility of individualized social intelligence in member robots of a community, and allows us to harness not only individual learning by the individual robot, but also the acquisition of new skills by observing other members of the community (robot, human, or virtual). We describe ALICE (Action Learning for Imitation via Correspondences between Embodiments), an implemented generic mechanism for solving the correspondence problem between differently embodied robots. ALICE enables a robotic agent to learn a behavioral repertoire suitable to performing a task by observing a model agent, possibly having a different type of body, joints, different number of degrees of freedom, etc. Previously we demonstrated that the character of imitation achieved will depend on the granularity of subgoal matching, and on the metrics used to evaluate success",

author = "A. Alissandrakis and C.L. Nehaniv and K. Dautenhahn",

year = "2003",

language = "English",

pages = "923--930",

booktitle = "Procs of the 2003 IEEE Int Symposium on Computational Intelligence in Robotics and Automation",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

note = "IEEE Int Symp on Computational Intelligence in Robotics and Automation ; Conference date: 16-07-2003 Through 20-07-2003",

}

Alissandrakis, A, Nehaniv, CL & Dautenhahn, K 2003, Synchrony and perception in robotic imitation across embodiments. in Procs of the 2003 IEEE Int Symposium on Computational Intelligence in Robotics and Automation. Institute of Electrical and Electronics Engineers (IEEE), pp. 923-930, IEEE Int Symp on Computational Intelligence in Robotics and Automation, Kobe, Japan, 16/07/03.

Synchrony and perception in robotic imitation across embodiments. / Alissandrakis, A.; Nehaniv, C.L.; Dautenhahn, K.
Procs of the 2003 IEEE Int Symposium on Computational Intelligence in Robotics and Automation. Institute of Electrical and Electronics Engineers (IEEE), 2003. p. 923-930.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Synchrony and perception in robotic imitation across embodiments

AU - Alissandrakis, A.

AU - Nehaniv, C.L.

AU - Dautenhahn, K.

PY - 2003

Y1 - 2003

N2 - Social robotics opens up the possibility of individualized social intelligence in member robots of a community, and allows us to harness not only individual learning by the individual robot, but also the acquisition of new skills by observing other members of the community (robot, human, or virtual). We describe ALICE (Action Learning for Imitation via Correspondences between Embodiments), an implemented generic mechanism for solving the correspondence problem between differently embodied robots. ALICE enables a robotic agent to learn a behavioral repertoire suitable to performing a task by observing a model agent, possibly having a different type of body, joints, different number of degrees of freedom, etc. Previously we demonstrated that the character of imitation achieved will depend on the granularity of subgoal matching, and on the metrics used to evaluate success

AB - Social robotics opens up the possibility of individualized social intelligence in member robots of a community, and allows us to harness not only individual learning by the individual robot, but also the acquisition of new skills by observing other members of the community (robot, human, or virtual). We describe ALICE (Action Learning for Imitation via Correspondences between Embodiments), an implemented generic mechanism for solving the correspondence problem between differently embodied robots. ALICE enables a robotic agent to learn a behavioral repertoire suitable to performing a task by observing a model agent, possibly having a different type of body, joints, different number of degrees of freedom, etc. Previously we demonstrated that the character of imitation achieved will depend on the granularity of subgoal matching, and on the metrics used to evaluate success

M3 - Conference contribution

SP - 923

EP - 930

BT - Procs of the 2003 IEEE Int Symposium on Computational Intelligence in Robotics and Automation

PB - Institute of Electrical and Electronics Engineers (IEEE)

T2 - IEEE Int Symp on Computational Intelligence in Robotics and Automation

Y2 - 16 July 2003 through 20 July 2003

ER -

Synchrony and perception in robotic imitation across embodiments

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