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A model for imitating human reaching movements

Published: 02 March 2006 Publication History

Abstract

We present a model of human-like reaching movements. This model is then used to give a humanoid robot the ability to imitate human reaching motions. It illustrates that having a robot control similar to human control can greatly ease the human-robot interaction.

References

[1]
H. Bekkering, A. Wohlschläger, and M. Gattis. Imitation of gestures in children is goal-directed. The Quarterly Journal of Experimental Psychology, 53A(1):153--164, 2000.
[2]
D. Bullock and S. Grossberg. Neural dynamics of planned arm movements: Emergent invariants and speed-accuracy properties during trajectory formation. Psychological Review, 1988.
[3]
M. Hersch and A. Billard. A biologically-inspired model of reaching movements. In Proceedings of the 2006 IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics, 2006. In press.
[4]
J. Kelso. Dynamic Patterns: The Self-Organization of Brain and Behavior. MIT Press, 1995.

Cited By

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  • (2024)Adaptive Environment-Aware Robotic Arm Reaching Based on a Bio-Inspired Neurodynamical Computational Framework2024 33rd IEEE International Conference on Robot and Human Interactive Communication (ROMAN)10.1109/RO-MAN60168.2024.10731226(510-515)Online publication date: 26-Aug-2024
  • (2015)Analysis and Evaluation of a Low-Cost Robotic Arm for @Home CompetitionsRobot 2015: Second Iberian Robotics Conference10.1007/978-3-319-27149-1_48(623-634)Online publication date: 28-Nov-2015
  • (2007)The iCub cognitive humanoid robot50 years of artificial intelligence10.5555/1806115.1806154(358-369)Online publication date: 1-Jan-2007
  • Show More Cited By

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  1. A model for imitating human reaching movements

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    cover image ACM Conferences
    HRI '06: Proceedings of the 1st ACM SIGCHI/SIGART conference on Human-robot interaction
    March 2006
    376 pages
    ISBN:1595932941
    DOI:10.1145/1121241
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 02 March 2006

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    HRI06
    HRI06: International Conference on Human Robot Interaction
    March 2 - 3, 2006
    Utah, Salt Lake City, USA

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    Overall Acceptance Rate 268 of 1,124 submissions, 24%

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    HRI '25
    ACM/IEEE International Conference on Human-Robot Interaction
    March 4 - 6, 2025
    Melbourne , VIC , Australia

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    View all
    • (2024)Adaptive Environment-Aware Robotic Arm Reaching Based on a Bio-Inspired Neurodynamical Computational Framework2024 33rd IEEE International Conference on Robot and Human Interactive Communication (ROMAN)10.1109/RO-MAN60168.2024.10731226(510-515)Online publication date: 26-Aug-2024
    • (2015)Analysis and Evaluation of a Low-Cost Robotic Arm for @Home CompetitionsRobot 2015: Second Iberian Robotics Conference10.1007/978-3-319-27149-1_48(623-634)Online publication date: 28-Nov-2015
    • (2007)The iCub cognitive humanoid robot50 years of artificial intelligence10.5555/1806115.1806154(358-369)Online publication date: 1-Jan-2007
    • (2007)The iCub cognitive architecture: Interactive development in a humanoid robot2007 IEEE 6th International Conference on Development and Learning10.1109/DEVLRN.2007.4354038(122-127)Online publication date: Jul-2007
    • (2007)The iCub Cognitive Humanoid Robot: An Open-System Research Platform for Enactive Cognition50 Years of Artificial Intelligence10.1007/978-3-540-77296-5_32(358-369)Online publication date: 2007

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