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The Paths We Pick Together: A Behavioral Dynamics Algorithm for an HRI Pick-and-Place Task

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Michael J. RichardsonAuthors Info & Claims

HRI '18: Companion of the 2018 ACM/IEEE International Conference on Human-Robot Interaction

Pages 165 - 166

https://doi.org/10.1145/3173386.3177022

Published: 01 March 2018 Publication History

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Abstract

Behavioral dynamics models provide an observationally grounded basis for HRI algorithms and provide another tool for creating robust, natural, and interpretable HRI systems. Here, an HRI pick-and-place algorithm was implemented based on a behavioral dynamics model of human decision-making dynamics in an interpersonal pick-and-place task. Participants were able to complete the HRI pick-and-place task, we provide comparisons to HHI pick-and-place results.

References

[1]

M. J. Richardson et al., 'Self-organized complementary joint action: Behavioral dynamics of an interpersonal collision-avoidance task.,' Journal of Experimental Psychology: Human Perception and Performance, vol. 41, no. 3, p. 665, 2015.

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[4]

M. Lamb, R. W. Kallen, S. J. Harrison, M. Di Bernardo, A. Minai, and M. J. Richardson, 'To Pass or Not to Pass: Modeling the Movement and Affordance Dynamics of a Pick and Place Task,' Front Psychol, vol. 8, Jun. 2017.

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[6]

M. Lamb, T. Lorenz, S. J. Harrison, R. W. Kallen, and M. J. Richardson, 'Behavioral Dynamics and Action Selection During a Joint-Action Pick and Place Task,' in Proceedings of the 39th Annual Conference of the Cognitive Science Society, London, UK, 2017.

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Cited By

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Wallkötter SChetouani MCastellano G(2022)SLOT-V: Supervised Learning of Observer Models for Legible Robot Motion Planning in Manipulation2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)10.1109/RO-MAN53752.2022.9900568(1421-1428)Online publication date: 29-Aug-2022
https://dl.acm.org/doi/10.1109/RO-MAN53752.2022.9900568
Lamb MNalepka PKallen RLorenz THarrison SMinai ARichardson M(2019)A Hierarchical Behavioral Dynamic Approach for Naturally Adaptive Human‐Agent Pick‐and‐Place InteractionsComplexity10.1155/2019/59646322019:1Online publication date: 9-Jun-2019
https://doi.org/10.1155/2019/5964632

Index Terms

The Paths We Pick Together: A Behavioral Dynamics Algorithm for an HRI Pick-and-Place Task
1. Computing methodologies
  1. Artificial intelligence
    1. Distributed artificial intelligence
      1. Multi-agent systems
    2. Planning and scheduling
      1. Robotic planning

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Information

Published In

HRI '18: Companion of the 2018 ACM/IEEE International Conference on Human-Robot Interaction

March 2018

431 pages

ISBN:9781450356152

DOI:10.1145/3173386

General Chairs:
Takayuki Kanda
ATR, Japan
,
Selma Ŝabanović
Indiana University Bloomington, USA
,
Program Chairs:
Guy Hoffman
Cornell University, USA
,
Adriana Tapus
ENSTA-ParisTech, France

Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

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Published: 01 March 2018

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National Science Foundation
National Institute of Health

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HRI '18

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SIGAI
SIGCHI
IEEE-RAS

HRI '18: ACM/IEEE International Conference on Human-Robot Interaction

March 5 - 8, 2018

IL, Chicago, USA

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HRI '18 Paper Acceptance Rate 49 of 206 submissions, 24%;

Overall Acceptance Rate 192 of 519 submissions, 37%

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Wallkötter SChetouani MCastellano G(2022)SLOT-V: Supervised Learning of Observer Models for Legible Robot Motion Planning in Manipulation2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)10.1109/RO-MAN53752.2022.9900568(1421-1428)Online publication date: 29-Aug-2022
https://dl.acm.org/doi/10.1109/RO-MAN53752.2022.9900568
Lamb MNalepka PKallen RLorenz THarrison SMinai ARichardson M(2019)A Hierarchical Behavioral Dynamic Approach for Naturally Adaptive Human‐Agent Pick‐and‐Place InteractionsComplexity10.1155/2019/59646322019:1Online publication date: 9-Jun-2019
https://doi.org/10.1155/2019/5964632

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A Multimodal Teach-in Approach to the Pick-and-Place Problem in Human-Robot Collaboration

An Autonomous and Flexible Robotic Framework for Logistics Applications

Mobile manipulator planning under uncertainty in unknown environments

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Recommendations

A Multimodal Teach-in Approach to the Pick-and-Place Problem in Human-Robot Collaboration

An Autonomous and Flexible Robotic Framework for Logistics Applications

Mobile manipulator planning under uncertainty in unknown environments

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